On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures | Paper Citation Record

Observation 8cd67070-287d-4075-be8a-2fa3de722aa9 · outbound

This paper cites Im- proved algorithms for linear stochastic bandits.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Im- proved algorithms for linear stochastic bandits

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.208948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1529a580-e3fc-49a1-886e-e55ef4ae0448 · outbound

This paper cites Model-based reinforcement learning with a generative model is minimax op- timal.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Model-based reinforcement learning with a generative model is minimax op- timal

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.214445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d79c0843-8f33-40dc-b94f-c4a8d025be67 · outbound

This paper cites Degenerate nonlinear programming with a quadratic growth condition.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Degenerate nonlinear programming with a quadratic growth condition

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.219509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4dce0c3-ce49-4107-bfd8-61e49fb6134b · outbound

This paper cites Fitted q- iteration in continuous action-space mdps.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Fitted q- iteration in continuous action-space mdps

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.225342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b85e5d2-4428-4f56-bda2-9ae3cc6a4408 · outbound

This paper cites Learning the target network in function space.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Learning the target network in function space

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.230182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95f88b01-9202-49e2-ad3c-3b1126b78f35 · outbound

This paper cites Finite-time analysis of the multiarmed bandit problem, 2002.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Finite-time analysis of the multiarmed bandit problem, 2002

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.234126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bfac92d-a9d1-4350-9b10-538a891de260 · outbound

This paper cites Minimax regret bounds for reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Minimax regret bounds for reinforcement learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.238833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 612dbc69-42f1-4026-aac5-f9cb2c4542aa · outbound

This paper cites Prov- ably efficient q-learning with low switching cost.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Prov- ably efficient q-learning with low switching cost

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.242675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 391d16ad-2c33-4164-bce9-9a283ade1ad1 · outbound

This paper cites Training a helpful and harmless assistant with reinforcement learning from human feedback.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Training a helpful and harmless assistant with reinforcement learning from human feedback

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.247682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fed46ad-9f26-4721-a0fd-d6a4296b182e · outbound

This paper cites Dynamic programming.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Dynamic programming

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.252535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d5bcf53-36f9-43ae-95c6-59bda6936c10 · outbound

This paper cites Online learning with switching costs and other adaptive adversaries.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Online learning with switching costs and other adaptive adversaries

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.257046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 579c1e47-5e27-49f6-b5c0-15309c726438 · outbound

This paper cites Information-theoretic considera- tions in batch reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Information-theoretic considera- tions in batch reinforcement learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.261458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e30b8fe-222f-4a3d-8460-5f0773f20b1e · outbound

This paper cites Deep reinforcement learning from human preferences.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Deep reinforcement learning from human preferences

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.265753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b77f5264-9dea-4525-966d-53eb0a2c6bb8 · outbound

This paper cites Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.269952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30728537-2956-4a7d-9cae-85becbeb2052 · outbound

This paper cites Minimax-optimal off- policy evaluation with linear function approximation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Minimax-optimal off- policy evaluation with linear function approximation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.274588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f664f1a-61d3-4d8b-b260-dafc2f2b3c11 · outbound

This paper cites Doubly Robust Policy Evaluation and Learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Doubly Robust Policy Evaluation and Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.279147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ff4366c-7ce2-4045-b441-874bd0c7ad4b · outbound

This paper cites Tree-based batch mode reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Tree-based batch mode reinforcement learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.284580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e421dd0-e1f5-4858-aff6-0396b456a2f3 · outbound

This paper cites Discovering faster matrix multipli- cation algorithms with reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Discovering faster matrix multipli- cation algorithms with reinforcement learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.289795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1547a81a-a1db-4e9e-8690-9deba09ac06b · outbound

This paper cites Theory of statistical estimation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Theory of statistical estimation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.294226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b23adf15-01b8-408c-ba93-c0a3705e9685 · outbound

This paper cites A Provably Efficient Algorithm for Linear Markov Decision Process with Low Switching Cost.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures A Provably Efficient Algorithm for Linear Markov Decision Process with Low Switching Cost

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.298033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6db73a91-af48-4e56-80e4-676867e272e1 · outbound

This paper cites Batched multi-armed bandits problem.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Batched multi-armed bandits problem

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.302003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cac3d414-6306-424a-b5bb-2427cbdfb052 · outbound

This paper cites Off-policy deep rein- forcement learning by bootstrapping the covariate shift.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Off-policy deep rein- forcement learning by bootstrapping the covariate shift

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.305987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 961f3efe-270f-40b7-9217-70dd5c1cf63b · outbound

This paper cites Minimax pac bounds on the sample complexity of rein- forcement learning with a generative model.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Minimax pac bounds on the sample complexity of rein- forcement learning with a generative model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.311486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 689b4757-97cd-4604-b07c-f3f151f94402 · outbound

This paper cites Maxmin expected utility with non-unique prior.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Maxmin expected utility with non-unique prior

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.317103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b6a0a7d-db16-4d7a-98c6-b9ab21630074 · outbound

This paper cites Approximate solutions to Markov decision processes.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Approximate solutions to Markov decision processes

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.321994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fe80bfc-4112-4f5f-b37b-55194084191d · outbound

This paper cites Networkgym: Reinforcement learn- ing environments for multi-access traffic management in net- work simulation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Networkgym: Reinforcement learn- ing environments for multi-access traffic management in net- work simulation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.326694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60ca303f-2507-4a8c-a827-34d6d588f2ca · outbound

This paper cites Consistent on-line off-policy evaluation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Consistent on-line off-policy evaluation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.331632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05eb0f54-0dd3-451b-b852-3dffe9027cc4 · outbound

This paper cites Bootstrapping fitted q-evaluation for off- policy inference.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Bootstrapping fitted q-evaluation for off- policy inference

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.336214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 667d8a66-1ef5-4361-8463-37b978db587a · outbound

This paper cites Effi- cient estimation of average treatment effects using the estimated propensity score.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Effi- cient estimation of average treatment effects using the estimated propensity score

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.340340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d26e45f8-545a-4681-901f-2b34b8f84dab · outbound

This paper cites A generalization of sampling without replacement from a finite universe.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures A generalization of sampling without replacement from a finite universe

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.344523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0b9d2f9-6be9-4d6c-b1c6-7370f8df9449 · outbound

This paper cites Towards deployment-efficient reinforcement learning: Lower bound and optimality.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Towards deployment-efficient reinforcement learning: Lower bound and optimality

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.348936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 043356c3-92bf-4056-b959-a07c8de46a47 · outbound

This paper cites Aleatoric and epis- temic uncertainty in machine learning: An introduction to con- cepts and methods.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Aleatoric and epis- temic uncertainty in machine learning: An introduction to con- cepts and methods

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.353131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c4b3a65-6f0c-404d-aa1f-1ff225bc51bd · outbound

This paper cites Doubly robust off-policy value eval- uation for reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Doubly robust off-policy value eval- uation for reinforcement learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.788348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e6085e59-902e-41c4-91d9-e09f3fc8ff07 · outbound

This paper cites Offline reinforcement learning in large state spaces: Algorithms and guarantees.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Offline reinforcement learning in large state spaces: Algorithms and guarantees

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.775309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f52c8254-9bed-41b8-9dff-eb535d10df04 · outbound

This paper cites Is pessimism provably efficient for offline rl? In International Conference on Machine Learning, pages 5084–5096.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Is pessimism provably efficient for offline rl? In International Conference on Machine Learning, pages 5084–5096

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.761998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b8a3ab84-a748-4bcd-b827-85ff45cac308 · outbound

This paper cites Double reinforcement learning for efficient off-policy evaluation in markov decision processes.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Double reinforcement learning for efficient off-policy evaluation in markov decision processes

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.748834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a83a642-146b-4251-9a99-64b8b41d7be2 · outbound

This paper cites Efficiently breaking the curse of horizon in off-policy evaluation with double reinforce- ment learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Efficiently breaking the curse of horizon in off-policy evaluation with double reinforce- ment learning

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.735715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bafe5139-e632-4f6d-8cb9-5edc5238010c · outbound

This paper cites Near-optimal reinforce- ment learning in polynomial time.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Near-optimal reinforce- ment learning in polynomial time

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.722332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6226483e-26dc-4d44-9f62-557c512b6647 · outbound

This paper cites Introduction to empirical processes and semiparametric inference, volume 61.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Introduction to empirical processes and semiparametric inference, volume 61

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.710137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8641d3d2-57e5-4f99-8e8a-5d4477510b90 · outbound

This paper cites Offline reinforcement learning with fisher divergence critic regularization.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Offline reinforcement learning with fisher divergence critic regularization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.698074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0663e18c-acf2-4cba-9ed9-b16a229433a0 · outbound

This paper cites Conservative q-learning for offline reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Conservative q-learning for offline reinforcement learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.685186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3aa17862-1c9b-4384-92c8-b34eecdbfe0a · outbound

This paper cites Minimax theory.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Minimax theory

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.671509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9a2ba5fa-fec8-4916-8dc0-a6bd09c3fd44 · outbound

This paper cites Batch policy learning under constraints.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Batch policy learning under constraints

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.658549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 53fbf41f-b39e-4273-baa9-63ed9b715275 · outbound

This paper cites Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.405537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 215ce0da-c7fa-4b64-8547-77caf4e57389 · outbound

This paper cites Breaking the sample size barrier in model-based reinforcement learning with a generative model.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Breaking the sample size barrier in model-based reinforcement learning with a generative model

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.645299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 49255547-06f2-4497-9765-454caa65547e · outbound

This paper cites Offline reinforcement learning with closed-form policy improvement operators.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Offline reinforcement learning with closed-form policy improvement operators

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.632786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f09321f7-cc91-43c8-804d-e6d4873c4936 · outbound

This paper cites Unbi- ased offline evaluation of contextual-bandit-based news article recommendation algorithms.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Unbi- ased offline evaluation of contextual-bandit-based news article recommendation algorithms

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.620627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9a16b704-7ff1-4654-80e9-82d0632306c6 · outbound

This paper cites Monte Carlo strategies in scientific computing, volume 10.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Monte Carlo strategies in scientific computing, volume 10

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.608305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 78954958-2c3a-4b48-8a42-23141e5ff526 · outbound

This paper cites Breaking the curse of horizon: Infinite-horizon off-policy es- timation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Breaking the curse of horizon: Infinite-horizon off-policy es- timation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.595029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 57a75e49-66aa-434d-9959-297a5db9a7af · outbound

This paper cites Off-policy policy gradient with stationary distribution cor- rection.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Off-policy policy gradient with stationary distribution cor- rection

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.581997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ae97e546-50b3-4c9b-bf78-01671a0aa7ee · outbound

This paper cites Provably good batch off-policy reinforcement learning without great exploration.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Provably good batch off-policy reinforcement learning without great exploration

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.567624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 405675f4-ba25-4549-8375-532ad9945af0 · outbound

This paper cites Mildly conservative q-learning for offline reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Mildly conservative q-learning for offline reinforcement learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.554612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9e7b0ac0-cd9f-41d8-acd5-3af09958e87e · outbound

This paper cites the distribution-norm to the res- cue.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures the distribution-norm to the res- cue

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.541828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 54ed687c-d2c2-46b3-a236-996f74795263 · outbound

This paper cites Faster sorting algorithms discovered using deep reinforcement learn- ing.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Faster sorting algorithms discovered using deep reinforcement learn- ing

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.529395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1e0d4ece-f616-4e4f-81d8-bdb7858b2412 · outbound

This paper cites Neural adaptive video streaming with pensieve.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Neural adaptive video streaming with pensieve

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.516072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8b2e305d-de76-487c-835f-3755f4a0be3a · outbound

This paper cites Deployment-efficient reinforce- ment learning via model-based offline optimization.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Deployment-efficient reinforce- ment learning via model-based offline optimization

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.502046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb40f6e4-1f27-4e42-bff5-f758f1b319b9 · outbound

This paper cites Dependent central limit theorems and in- variance principles.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Dependent central limit theorems and in- variance principles

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.487751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58ccbf41-73d4-412d-89f5-14b877a01c8b · outbound

This paper cites Variance-aware off-policy evaluation with linear function ap- proximation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Variance-aware off-policy evaluation with linear function ap- proximation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.475680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e34d18aa-ef27-4d2a-9fb0-74054f8e5149 · outbound

This paper cites Human-level control through deep reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Human-level control through deep reinforcement learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.462963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dd6bb0c5-0cfa-427b-b9ca-0fed1a73afff · outbound

This paper cites Bootstrapping: A nonparametric approach to statistical infer- ence.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Bootstrapping: A nonparametric approach to statistical infer- ence

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.450599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e59f5fa6-37ca-4640-8f65-b706af237290 · outbound

This paper cites Finite-time bounds for fit- ted value iteration.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Finite-time bounds for fit- ted value iteration

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.437575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 193c6ec1-b31e-4457-95f6-cac07abce26a · outbound

This paper cites Marginal mean models for dynamic regimes.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Marginal mean models for dynamic regimes

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.422478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3ccf2f67-d769-44e9-9bce-ee8a2068faaf · outbound

This paper cites Dualdice: Behavior-agnostic estimation of discounted stationary distribu- tion corrections.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Dualdice: Behavior-agnostic estimation of discounted stationary distribu- tion corrections

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.409007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 95de1a03-1199-4c28-ad5b-2985258fee37 · outbound

This paper cites AlgaeDICE: Policy Gradient from Arbitrary Experience.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures AlgaeDICE: Policy Gradient from Arbitrary Experience

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.491915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0d4c04b-e228-4175-ae87-a8383b436721 · outbound

This paper cites Optimal medication dosing from suboptimal clinical ex- amples: A deep reinforcement learning approach.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Optimal medication dosing from suboptimal clinical ex- amples: A deep reinforcement learning approach

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.394785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3585e0a-0abb-469f-9e0b-71f14dfd013e · outbound

This paper cites On sample-efficient of- fline reinforcement learning: Data diversity, posterior sampling and beyond.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures On sample-efficient of- fline reinforcement learning: Data diversity, posterior sampling and beyond

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.381978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 19b323a4-cbe9-4848-895f-91a27aa5631a · outbound

This paper cites On instance-dependent bounds for offline reinforcement learning with linear function approximation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures On instance-dependent bounds for offline reinforcement learning with linear function approximation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.368016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2d4b2c17-a3f3-47bd-bd3d-27744fb6f1b5 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.354576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2e04c9c0-c068-49f1-81b0-e36439b6e035 · outbound

This paper cites Batched bandit problems.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Batched bandit problems

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.341189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4c44f74f-5eb9-4085-b8d9-9d5dd9f2e6d4 · outbound

This paper cites Approximate Dynamic Programming: Solv- ing the curses of dimensionality , volume 703.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Approximate Dynamic Programming: Solv- ing the curses of dimensionality , volume 703

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.326945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e5b586e5-8f70-4316-b061-bf6d2bf8990a · outbound

This paper cites Eligibility traces for off-policy policy evalua- tion.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Eligibility traces for off-policy policy evalua- tion

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.311762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 45d70d9d-3624-4ccc-8f27-5dd679f15df5 · outbound

This paper cites Markov decision processes.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Markov decision processes

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.298253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 563ed0ae-d2b1-41ed-91ff-088985f8c4ae · outbound

This paper cites Near-optimal deployment effi- ciency in reward-free reinforcement learning with linear func- tion approximation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Near-optimal deployment effi- ciency in reward-free reinforcement learning with linear func- tion approximation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.285372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5cc730c1-b9ae-4717-bff6-d5aed1d48b13 · outbound

This paper cites Sample- efficient reinforcement learning with loglog (t) switching cost.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Sample- efficient reinforcement learning with loglog (t) switching cost

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.270273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 90471ee9-5843-4fbd-be07-5c0ef964fc56 · outbound

This paper cites Logarithmic switch- ing cost in reinforcement learning beyond linear mdps.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Logarithmic switch- ing cost in reinforcement learning beyond linear mdps

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.255721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d74fba3d-d6a5-40ca-bb2e-ac5dc47a8672 · outbound

This paper cites Bridging offline reinforcement learning and im- itation learning: A tale of pessimism.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Bridging offline reinforcement learning and im- itation learning: A tale of pessimism

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.242121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 08b9b6dd-f4fb-4a25-bcee-9eba6b35c3e6 · outbound

This paper cites Nearly horizon-free offline reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Nearly horizon-free offline reinforcement learning

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.228950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 73f5d59e-d8e3-46ff-8735-08a530c69867 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Mastering the game of go with deep neural networks and tree search

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.215211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 60a06f68-e025-467a-9587-758852db3281 · outbound

This paper cites Mastering the game of go without human knowledge.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Mastering the game of go without human knowledge

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.563181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa648aef-6fb2-4b3c-9e69-3af10e8a56ca · outbound

This paper cites Learning to summarize with human feed- back.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Learning to summarize with human feed- back

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.192685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d0e89996-56c5-4de9-b783-0482330b2bde · outbound

This paper cites Reinforcement learn- ing: An introduction.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Reinforcement learn- ing: An introduction

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.179346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5c4d9419-5927-4a22-adc4-ac8db1fc9fd2 · outbound

This paper cites Finite time bounds for sampling based fitted value iteration.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Finite time bounds for sampling based fitted value iteration

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.166147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1f620bd3-35e8-4b44-a8e0-c92594300be9 · outbound

This paper cites Semiparametric theory and missing data, volume 4.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Semiparametric theory and missing data, volume 4

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.578347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5253eba6-d85a-49eb-a3e9-63f1629d1595 · outbound

This paper cites Minimax weight and q-function learning for off-policy evaluation.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Minimax weight and q-function learning for off-policy evaluation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.143639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fdef9586-60e1-47ab-aaa9-a545b885a559 · outbound

This paper cites Asymptotic statistics, volume 3.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Asymptotic statistics, volume 3

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.129716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f87c33c9-fd40-4ca5-8ba6-c586cc08db69 · outbound

This paper cites High-dimensional statistics: A non- asymptotic viewpoint, volume 48.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures High-dimensional statistics: A non- asymptotic viewpoint, volume 48

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.116170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b684ee2-762a-4cab-bb9b-37310552c199 · outbound

This paper cites Provably efficient reinforcement learning with linear function approxi- mation under adaptivity constraints.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Provably efficient reinforcement learning with linear function approxi- mation under adaptivity constraints

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.102768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d95b0957-9ce6-4423-818d-b7197348b8e4 · outbound

This paper cites On gap-dependent bounds for offline reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures On gap-dependent bounds for offline reinforcement learning

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.088796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0646dc31-11d4-48ce-b901-1af3c63df95b · outbound

This paper cites Opti- mal and adaptive off-policy evaluation in contextual bandits.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Opti- mal and adaptive off-policy evaluation in contextual bandits

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.075476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 17268b18-fa42-4ba1-9a94-47bdce98e4c1 · outbound

This paper cites Behavior Regularized Offline Reinforcement Learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Behavior Regularized Offline Reinforcement Learning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.611265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c6f5143-4834-4b7f-b907-f772f2121fc5 · outbound

This paper cites On the optimality of batch policy optimization algorithms.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures On the optimality of batch policy optimization algorithms

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.061734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9757f4e0-0dbe-4062-bba3-b3cfcc744b21 · outbound

This paper cites Q* approximation schemes for batch reinforcement learning: A theoretical comparison.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Q* approximation schemes for batch reinforcement learning: A theoretical comparison

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.047894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 189aff4c-fe89-4510-a5a7-af8d297a211c · outbound

This paper cites Towards optimal off-policy evaluation for reinforcement learning with marginal- ized importance sampling.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Towards optimal off-policy evaluation for reinforcement learning with marginal- ized importance sampling

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.034006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation da2895fe-2f71-49aa-bfa3-6016f79f0d28 · outbound

This paper cites Bellman-consistent pessimism for offline rein- forcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Bellman-consistent pessimism for offline rein- forcement learning

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:17.020810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 19817067-7e7a-4a91-9f41-05d340030dd3 · outbound

This paper cites Policy finetuning: Bridging sample-efficient offline and online reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Policy finetuning: Bridging sample-efficient offline and online reinforcement learning

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.630025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6064c2ed-6b28-489a-8a2b-74a6bfba6e3b · outbound

This paper cites Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-10T22:19:16.633815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dfea6f6-3eb1-4951-bbdd-83da7727c7d5 · outbound

This paper cites Asymptotically efficient off- policy evaluation for tabular reinforcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Asymptotically efficient off- policy evaluation for tabular reinforcement learning

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:16.998146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 80472f83-d677-47e9-aeff-1e7a3590bdcf · outbound

This paper cites Towards instance-optimal of- fline reinforcement learning with pessimism.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Towards instance-optimal of- fline reinforcement learning with pessimism

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:16.984804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cc4bef7c-c292-402e-8207-a764985f2dcf · outbound

This paper cites Near-optimal prov- able uniform convergence in offline policy evaluation for rein- forcement learning.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Near-optimal prov- able uniform convergence in offline policy evaluation for rein- forcement learning

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:16.970026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5397d07a-78d9-4e51-baa1-2aa64fa26568 · outbound

This paper cites Near-optimal of- fline reinforcement learning via double variance reduction.

On the Statistical Complexity for Offline and Low-Adaptive Reinforcement Learning with Structures Near-optimal of- fline reinforcement learning via double variance reduction

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:19:16.955788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers