Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood | Paper Citation Record

Observation b2727ca4-f5f9-430c-bae1-d53ed89ade7b · outbound

This paper cites write newline.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood write newline

Reference 1

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Observation 04f87bd3-0ea1-41e8-bf93-3fa6826f2fb7 · outbound

This paper cites Uncertainty-based offline reinforcement learning with diversified q-ensemble.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Uncertainty-based offline reinforcement learning with diversified q-ensemble

Reference 2

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Observation b62d4df3-f0fa-4a6b-9e96-2a1417d4dbb4 · outbound

This paper cites Near-optimal regret bounds for reinforcement learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Near-optimal regret bounds for reinforcement learning

Reference 3

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Observation 0012dfda-f904-4179-9f74-4956d0a95440 · outbound

This paper cites Manifold topology divergence: a framework for comparing data manifolds.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Manifold topology divergence: a framework for comparing data manifolds

Reference 4

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Observation 77245729-e20d-448a-8673-a1ab89bc83d5 · outbound

This paper cites Laplacian eigenmaps and spectral techniques for embedding and clustering.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Laplacian eigenmaps and spectral techniques for embedding and clustering

Reference 5

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Observation ad686d95-9820-434d-8f85-954a04ad2cb1 · outbound

This paper cites On the Inductive Bias of Neural Tangent Kernels.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood On the Inductive Bias of Neural Tangent Kernels

Reference 6

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Observation 77b6dbda-ac72-4049-bbe7-f8caf6c48683 · outbound

This paper cites Flows for simultaneous manifold learning and density estimation.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Flows for simultaneous manifold learning and density estimation

Reference 7

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Observation 36370ff4-c1f4-4016-bb26-f32426d32543 · outbound

This paper cites OpenAI Gym.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood OpenAI Gym

Reference 8

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Observation edfe8984-2ac4-41d4-864d-aa29aaf70d34 · outbound

This paper cites Bail: Best-action imitation learning for batch deep reinforcement learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Bail: Best-action imitation learning for batch deep reinforcement learning

Reference 9

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Observation c13f2ac5-941f-4bbc-ae58-d7ee4c981374 · outbound

This paper cites Diffusion maps.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Diffusion maps

Reference 10

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Observation 46b1f972-6798-496f-a2c9-70fe477b9e2a · outbound

This paper cites Pink noise is all you need: Colored noise exploration in deep reinforcement learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Pink noise is all you need: Colored noise exploration in deep reinforcement learning

Reference 11

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Observation e57d3fa9-29c9-4044-89e8-69d03c6d1aef · outbound

This paper cites D4rl: Datasets for deep data-driven reinforcement learning, 2021.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood D4rl: Datasets for deep data-driven reinforcement learning, 2021

Reference 12

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Observation 7ae79ce4-115e-4677-9086-b1f6e9c8af6d · outbound

This paper cites A minimalist approach to offline reinforcement learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood A minimalist approach to offline reinforcement learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.522372Z

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Observation 423edc72-3bbc-4e63-a4cb-c285062e1a18 · outbound

This paper cites Off-policy deep reinforcement learning without exploration.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Off-policy deep reinforcement learning without exploration

Reference 14

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Observation 01b87718-6770-47eb-be7a-7a426b0c7700 · outbound

This paper cites Learning rankings via convex hull separation.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Learning rankings via convex hull separation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.493119Z

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Observation 14dd046c-95d9-4c78-9362-9a3b7e400315 · outbound

This paper cites Extreme Q-Learning: MaxEnt RL without Entropy.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Extreme Q-Learning: MaxEnt RL without Entropy

Reference 16

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Observation 0762145d-4da6-4aea-8d80-90ebb6106a89 · outbound

This paper cites Improving Offline RL by Blending Heuristics.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Improving Offline RL by Blending Heuristics

Reference 17

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Observation 5c018bd8-872b-4025-8e05-9254dd4f0ef2 · outbound

This paper cites Why so pessimistic? estimating uncertainties for offline rl through ensembles, and why their independence matters.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Why so pessimistic? estimating uncertainties for offline rl through ensembles, and why their independence matters

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.478149Z

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Observation 4e505ac3-d422-4752-b19e-2ae4a178802b · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 19

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Observation 087f99af-5649-49de-bd47-2c2e0f950ff8 · outbound

This paper cites Random projections for manifold learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Random projections for manifold learning

Reference 20

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Observation f174c80b-b129-4129-8507-7b5ac451a2dd · outbound

This paper cites Beyond uniform sampling: Offline reinforcement learning with imbalanced datasets.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Beyond uniform sampling: Offline reinforcement learning with imbalanced datasets

Reference 21

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Observation 7483e25c-d457-4a7d-85ad-9f0c26e589c7 · outbound

This paper cites Mild policy evaluation for offline actor--critic.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Mild policy evaluation for offline actor--critic

Reference 22

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Observation bb277ef5-c440-4243-8801-ae2ca4e47a57 · outbound

This paper cites Neural Tangent Kernel: Convergence and Generalization in Neural Networks.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Neural Tangent Kernel: Convergence and Generalization in Neural Networks

Reference 23

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Observation 0971bad8-7bec-440e-91f0-f6a9c4586f28 · outbound

This paper cites A convex hull-based data selection method for data driven models.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood A convex hull-based data selection method for data driven models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.407761Z

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Observation b435e2c8-7c51-4615-a19b-45bfc93b67ce · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Adam: A Method for Stochastic Optimization

Reference 25

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Observation b4ac79f4-d8d5-4a13-8266-8afc8aabe59c · outbound

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

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Offline reinforcement learning with fisher divergence critic regularization

Reference 26

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Observation 2796467c-3a3c-4708-a2c5-91d74746154e · outbound

This paper cites Offline Reinforcement Learning with Implicit Q-Learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Offline Reinforcement Learning with Implicit Q-Learning

Reference 27

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Observation 950a4f7b-b3a5-4673-bf86-e4a380591bf4 · outbound

This paper cites Stabilizing off-policy q-learning via bootstrapping error reduction.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Stabilizing off-policy q-learning via bootstrapping error reduction

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.377984Z

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Observation 7acef59d-6aa9-4981-9cec-af33d8400982 · outbound

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

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Conservative q-learning for offline reinforcement learning

Reference 29

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Observation 8b551c13-6061-4f88-90c0-b6a1620cb95d · outbound

This paper cites Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:22:27.992371Z

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Observation 7a30ff04-8ad2-4ad5-a2df-3330feda9fd5 · outbound

This paper cites When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:22:27.971229Z

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Observation 258495b4-b0ff-4cb4-99e9-f73d6b6800dc · outbound

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

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Mildly conservative q-learning for offline reinforcement learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.352784Z

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Observation b067009a-5214-4801-85fc-419e7b097027 · outbound

This paper cites SEABO: A Simple Search-Based Method for Offline Imitation Learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood SEABO: A Simple Search-Based Method for Offline Imitation Learning

Reference 33

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Observation 1196c970-65f4-4ac2-8829-4bdcd0bce33a · outbound

This paper cites On the role of general function approximation in offline reinforcement learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood On the role of general function approximation in offline reinforcement learning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.337075Z

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Observation 3d6c7838-3c2c-4f35-874e-6992398433af · outbound

This paper cites Machine learning algorithm based on convex hull analysis.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Machine learning algorithm based on convex hull analysis

Reference 35

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Observation 44f94f89-08f2-41ca-be92-788441ea4c08 · outbound

This paper cites Why is Posterior Sampling Better than Optimism for Reinforcement Learning?.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Why is Posterior Sampling Better than Optimism for Reinforcement Learning?

Reference 36

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Observation e3c0c889-bdd8-436e-ba64-193c5f90571d · outbound

This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Reference 37

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Observation 4fbc39b4-afb8-4167-9a6f-cd1fdce17504 · outbound

This paper cites Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Reference 38

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Observation 87e71b41-e966-446e-9f88-910d9bf76560 · outbound

This paper cites Policy regularization with dataset constraint for offline reinforcement learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Policy regularization with dataset constraint for offline reinforcement learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.308226Z

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Observation 1e868df6-a8bb-44bf-9b57-e2a19a62e438 · outbound

This paper cites Nonlinear dimensionality reduction by locally linear embedding.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Nonlinear dimensionality reduction by locally linear embedding

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.293800Z

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Observation e2562a35-92bd-4490-8447-166d9e165625 · outbound

This paper cites A dataset perspective on offline reinforcement learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood A dataset perspective on offline reinforcement learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.279695Z

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Observation 5c6daea8-bc9b-4774-9770-09b969caaafe · outbound

This paper cites Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples

Reference 42

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Observation be1e0c20-24d3-4c46-9125-6725309df06d · outbound

This paper cites Sutton and Andrew G.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Sutton and Andrew G

Reference 43

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Observation bdf784a3-85fc-4a18-a1b8-10cce6db4427 · outbound

This paper cites A global geometric framework for nonlinear dimensionality reduction.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood A global geometric framework for nonlinear dimensionality reduction

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.254341Z

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Observation c3550023-30a5-4f75-860e-b65b43c43a7e · outbound

This paper cites Mujoco: A physics engine for model-based control.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Mujoco: A physics engine for model-based control

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:26.818469Z

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Observation 97666142-1f76-4ba5-8747-d477965e14a5 · outbound

This paper cites Adaptive manifold learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Adaptive manifold learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.237822Z

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Observation c32c712c-f7b1-4f43-826c-ec7805ae0790 · outbound

This paper cites Improving generalization in reinforcement learning with mixture regularization.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Improving generalization in reinforcement learning with mixture regularization

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.223654Z

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Observation 6b0d68aa-5d91-45a0-872b-69df93598980 · outbound

This paper cites Exponentially weighted imitation learning for batched historical data.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Exponentially weighted imitation learning for batched historical data

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.209242Z

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Observation 77c722db-48ec-49f6-b92f-dfe28046357c · outbound

This paper cites Behavior Regularized Offline Reinforcement Learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Behavior Regularized Offline Reinforcement Learning

Reference 49

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Observation fbb913a5-e59d-418c-a15d-31470aad2381 · outbound

This paper cites Zeta hull pursuits: Learning nonconvex data hulls.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Zeta hull pursuits: Learning nonconvex data hulls

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.194510Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 45f17633-9104-4ffd-9565-f2fa0d64e7c0 · outbound

This paper cites Uncertainty svm active learning algorithm based on convex hull and sample distance.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Uncertainty svm active learning algorithm based on convex hull and sample distance

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.179977Z

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Observation a73e2a5f-1b28-4238-8d50-5f4e3eb823c2 · outbound

This paper cites Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:27.299725Z

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Observation 29ef1edb-2f09-4290-8ace-a5f42f6e7ef8 · outbound

This paper cites Rorl: Robust offline reinforcement learning via conservative smoothing.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Rorl: Robust offline reinforcement learning via conservative smoothing

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:27.402534Z

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Observation a42cc906-eef6-49be-9a4f-edf5155a047b · outbound

This paper cites Towards Robust Offline Reinforcement Learning under Diverse Data Corruption.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Towards Robust Offline Reinforcement Learning under Diverse Data Corruption

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:22:27.698977Z

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Observation a0d3b574-9bee-46ee-8dc8-2945e3a3ccb4 · outbound

This paper cites In-sample actor critic for offline reinforcement learning.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood In-sample actor critic for offline reinforcement learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:28.154600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2572a492-724e-4fa6-94af-d2a55b0b8b92 · outbound

This paper cites @esa (Ref.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood @esa (Ref

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:27.644839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 772415cc-6c2a-46be-9dac-6ee889b10779 · outbound

This paper cites an unresolved cited work.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:27.649510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b3481cc-3210-418a-a671-83b889d1099b · outbound

This paper cites an unresolved cited work.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Unresolved cited work

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:27.653919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers