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Paper Citation Record · LEDGER

Foundations of Reinforcement Learning and Control:Connections and New Perspectives

As of 10 August 2026, this Paper Citation Record lists 100 of 105 outbound references and 0 inbound Pith citation observations for arXiv:2608.02433.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.02433 v1

Coverage vector

measured 100 of 105 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:32:30.418525Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 105 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 4624a3d1-9050-4e37-9167-30066d66e14f · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 1

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Observation 6ec2b844-f6d2-4f19-90fc-0838477d405e · outbound

This paper cites Aminmansour, T.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Aminmansour, T

Reference 2

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Observation f9067b1e-f3d7-4b08-988d-720ea2dcac69 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

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Observation c3a74243-70c9-4e68-b5de-c26485aa4247 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

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Observation 91df42c4-7802-4cc7-a0a5-c4fcae5b7b0b · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

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Observation 3e82ff07-d6ea-49c7-82a7-cde0ae176541 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

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Observation c3166957-62ac-44ae-bb65-0294aea4497a · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 7

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Observation eef2615e-585f-4f4c-b5aa-546021b542f1 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 8

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Observation db9c35c0-318b-4b7f-b23c-2af54bf5c9df · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

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Observation 3e97f2f5-ea18-4eb8-ab4a-232bf2d65766 · outbound

This paper cites Bellemare, S.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Bellemare, S

Reference 10

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Observation ada6518a-3ef9-4665-a877-553b2a100f65 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

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Observation 5154fa57-22af-46ad-80ef-0afdd155c752 · outbound

This paper cites Bellman.Dynamic Programming.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Bellman.Dynamic Programming

Reference 12

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Observation 07c14811-30c6-4958-816c-8682f8b503db · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

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Observation 58e2db0f-7939-44fa-821e-77cce5084ec5 · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 14

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Observation 8ee67c47-3aa1-465d-80df-c0d7bd0801e5 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

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Observation 77cc4fae-0d0f-450f-a162-b4fecefe798b · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

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Observation b7191b5b-6db6-43b5-bef4-2a6941277555 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

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Observation 4555af97-cc72-4b9e-95bb-b7fd58b889a7 · outbound

This paper cites Chen and L.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Chen and L

Reference 18

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Observation 47a5397d-5e5c-48ed-8c46-03a9920a867a · outbound

This paper cites A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives A Survey of Sim-to-Real Methods in RL: Progress, Prospects and Challenges with Foundation Models

Reference 19

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Observation 86f71ae6-9b94-4b3a-96a1-52eff82f5549 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

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Observation 8d43ea43-fe03-4970-8f57-068d7e7abc1e · outbound

This paper cites Degrave, F.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Degrave, F

Reference 21

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Observation 168012ea-afc1-4688-a771-7fc737f46089 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

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Observation daee70df-c957-43f7-a7c2-aa44af90e63c · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

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Observation db268447-3e15-4674-97aa-8a8bf48c4cb4 · outbound

This paper cites Challengesofreal-worldreinforcement learning: Definitions, benchmarks and analysis.Machine Learning, 110(9):2419–2468, 2021.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Challengesofreal-worldreinforcement learning: Definitions, benchmarks and analysis.Machine Learning, 110(9):2419–2468, 2021

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Observation 45f80fa8-f7fe-41dd-b6f3-219170f20197 · outbound

This paper cites Pinknoiseisallyouneed: Colorednoiseexploration in deep reinforcement learning.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Pinknoiseisallyouneed: Colorednoiseexploration in deep reinforcement learning

Reference 25

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Observation c5ac35c4-7b04-4a12-8aed-c275123bda63 · outbound

This paper cites Eberhard, M.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Eberhard, M

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Observation b0c665a5-e08e-4fb1-93e9-270aecfe15f6 · outbound

This paper cites Eberhard, C.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Eberhard, C

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Observation 00f476f7-314c-49a3-9e3b-82f04b074e99 · outbound

This paper cites Elelimy, A.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Elelimy, A

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Observation a1dfb60b-fc65-4ac7-a3f9-267842eb3557 · outbound

This paper cites Elmkaiel, S.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Elmkaiel, S

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Observation 433bc4dc-b2c3-4ac0-a189-6204a5211423 · outbound

This paper cites Fujimoto, H.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Fujimoto, H

Reference 30

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Observation e4944d07-6b05-422d-9fa5-acf927defb59 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

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Observation 84c11b3d-0c87-4386-92af-c82dfaa666dd · outbound

This paper cites Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization

Reference 32

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Observation 3c40776f-ccaa-445e-9479-b64ffe6c80b6 · outbound

This paper cites Golowich, A.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Golowich, A

Reference 33

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Observation d2c7fbb4-aa9e-419f-9497-1a89ef8ec991 · outbound

This paper cites Goodwin and K.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Goodwin and K

Reference 34

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Observation 395c0b7f-eee6-4bad-8ffc-02106f464a6d · outbound

This paper cites Graves, E.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Graves, E

Reference 35

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Observation 41cc08b5-2629-4703-a897-ed3fd013c7f9 · outbound

This paper cites Haarnoja, A.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Haarnoja, A

Reference 36

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Observation c4de9c23-5aef-49f3-9ffa-9c21341757a7 · outbound

This paper cites Training Agents Inside of Scalable World Models.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Training Agents Inside of Scalable World Models

Reference 37

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Observation 774caefe-2b92-48c0-b5d0-5321a6fcd222 · outbound

This paper cites TD-MPC2: Scalable, Robust World Models for Continuous Control.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 38

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Observation abb74544-5875-4b73-8323-1c66c27d23bf · outbound

This paper cites Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics

Reference 39

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Observation 066f8d2d-fd16-4e72-8ff4-2b30efd6e6a1 · outbound

This paper cites Hewing, J.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Hewing, J

Reference 40

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Observation 727b2b63-d9b7-4e27-b575-600b552389da · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 41

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Observation 1c86423a-16f1-4283-8008-0be6075f4fd0 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 42

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Observation da184efc-be07-4dcf-bb2a-4dace0ba7342 · outbound

This paper cites Near-optimalregretboundsforreinforcementlearning.JournalofMachine Learning Research, 11(51):1563–1600, 2010.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Near-optimalregretboundsforreinforcementlearning.JournalofMachine Learning Research, 11(51):1563–1600, 2010

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Observation 0d450e42-e675-46ce-ae34-ac605312974c · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 44

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Observation 85c09e89-4bd8-43bd-957f-976bdc3420dd · outbound

This paper cites Ostrovski, J.Quan, R.Munos, andW.Dabney.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Ostrovski, J.Quan, R.Munos, andW.Dabney

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Observation 0ba949b9-a218-4ae6-a323-78e44ae891fc · outbound

This paper cites Karafyllis and M.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Karafyllis and M

Reference 46

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Observation fee1702b-ab0c-49e0-9a42-66ceac451e00 · outbound

This paper cites Karmakar and S.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Karmakar and S

Reference 47

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Observation 585da1d6-b8c6-4466-9316-56277713d264 · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 48

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Observation adb3eb24-1ef7-4f39-9d08-19e05dac891f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Adam: A Method for Stochastic Optimization

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Observation ee4b53a4-ce63-4376-909d-869ddcdc631e · outbound

This paper cites Kocsis and C.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Kocsis and C

Reference 50

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Observation d261f1ae-aac1-4727-ab62-960e28d003a0 · outbound

This paper cites Krishnamurthy, A.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Krishnamurthy, A

Reference 51

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Observation 9cea11ab-88cd-4cc4-93aa-6bd3a434e6ce · outbound

This paper cites Krstić, I.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Krstić, I

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Observation 4c538afa-e2bf-4ec7-91d9-ae6361aab198 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 53

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Observation a108fd6f-0153-47f1-ae4d-5cb32425d49f · outbound

This paper cites Lai and H.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Lai and H

Reference 54

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Observation 0a7d94e7-9afa-42e3-9007-ee783159965f · outbound

This paper cites Sample-basedplanningandlearningwithfunctionapproximation.Statistical Sciences, 40(4):517–545, 2025.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Sample-basedplanningandlearningwithfunctionapproximation.Statistical Sciences, 40(4):517–545, 2025

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Observation 9ae738fc-d42f-4693-bc0e-1603ce213fef · outbound

This paper cites Lauri, D.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Lauri, D

Reference 56

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Observation 30be9447-6b5d-4787-9e56-62c9e0519691 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 57

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Observation 501ba220-aac0-4efd-802c-c8bc351b5a9a · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 58

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Observation 7207e1f9-16e8-4502-932c-6d0c423ae2a8 · outbound

This paper cites Memorylesspolicies: Theoreticallimitationsandpracticalresults.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Memorylesspolicies: Theoreticallimitationsandpracticalresults

Reference 59

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Observation 58f74e4e-6570-4ec8-96c0-46b15f42e313 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 60

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Observation f20eb4f8-b8f5-43ff-b845-1805938ee06c · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 61

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Observation afb474a3-56ac-4bad-8674-1bc9e4531ada · outbound

This paper cites Reinforcementlearningwithmodel-basedfeedforward inputs for robotic table tennis.Autonomous Robots, 47(8):1387–1403, 2023.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Reinforcementlearningwithmodel-basedfeedforward inputs for robotic table tennis.Autonomous Robots, 47(8):1387–1403, 2023

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Observation 7e57d8c4-317b-493b-9eaa-14989ba602e6 · outbound

This paper cites Martius, R.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Martius, R

Reference 63

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Observation 6e9505ed-9add-4b94-b63a-50a3cc23aac0 · outbound

This paper cites Mishkin and L.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Mishkin and L

Reference 64

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Observation 00cdc8b8-a704-452d-a981-96aae7f4051d · outbound

This paper cites Fidjeland, G.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Fidjeland, G

Reference 65

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Observation 46c102d7-7309-4ad5-b2dc-9ba102c9cfe2 · outbound

This paper cites Mohri, A.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Mohri, A

Reference 66

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Observation 17e4a84b-870a-47eb-9ee3-e729fcff770e · outbound

This paper cites Muehlebach, Z.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Muehlebach, Z

Reference 67

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Observation 74ed9770-04be-4050-9a1b-e93fcd5b4131 · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 68

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Observation ec1feacd-58a4-48a5-a866-a404ed98fbb9 · outbound

This paper cites Osband and B.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Osband and B

Reference 69

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Observation c3aee3b7-2e0a-480e-b515-73e28235a192 · outbound

This paper cites Osband, C.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Osband, C

Reference 70

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Observation e3fd2a37-2872-43fa-a1f4-303c36dc77ef · outbound

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Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 71

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Observation 51d89761-e8dd-44a4-a6aa-27ac2eb746e8 · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 72

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source=pdf_text observed=2026-08-04T07:32:30.301822Z digest=sha256:cacc64d576aefe60fac8fdc161a4f739cf3cb59cd5a617f14189be3147525bab

Observation 1e0588c1-ebd7-4bf1-8e70-ac5db3e1a313 · outbound

This paper cites Patterson, A.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Patterson, A

Reference 73

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Observation 7ceffb89-d8c8-4cef-897c-77bc93ec26d2 · outbound

This paper cites Patterson, S.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Patterson, S

Reference 74

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Observation 6c3a0a2c-eb9d-418d-80f8-ffa44bff8f0e · outbound

This paper cites Piazza, G.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Piazza, G

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Observation 7371d436-a961-47be-940d-a9d892698ca7 · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 76

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source=pdf_text observed=2026-08-04T07:32:30.318721Z digest=sha256:bf1ae746456032102e7bdb1fd92ff523bb76a533ccae0c4a1b582ed57218d97a

Observation b0ccdaec-01b0-46a2-86a6-1a519fccb6e0 · outbound

This paper cites Rosenblatt.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Rosenblatt

Reference 77

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Observation b0989654-ed12-4332-98fb-6b6feb9e5339 · outbound

This paper cites Sastry and M.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Sastry and M

Reference 78

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Observation 98c719ed-fb64-4d78-9597-6aa9d73dff75 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Proximal Policy Optimization Algorithms

Reference 79

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Observation 1e37b9ee-508e-4acc-b9ae-871999074979 · outbound

This paper cites Silver, G.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Silver, G

Reference 80

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source=pdf_text observed=2026-08-04T07:32:30.336827Z digest=sha256:976a85b84c14c1b60ba811454c87d24296288240c332c000d86d146420c5d57d

Observation d4353d7b-0ae5-4c86-a764-00d6652a7c72 · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 81

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source=pdf_text observed=2026-08-04T07:32:30.341889Z digest=sha256:a4a0564d2d08e73c938cb35ac264bb3a2d784e0b044aec18962896845e8acd45

Observation edc4bf42-44e2-447e-a659-8ae9579e2675 · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

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Observation 67705e7a-4d3a-413e-a092-0b922718efa6 · outbound

This paper cites Smyshlyaev and M.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Smyshlyaev and M

Reference 83

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source=pdf_text observed=2026-08-04T07:32:30.351373Z digest=sha256:882c35cf374f71e814183b1d1acb229cf1f9be717788fa6d21518721718b01c1

Observation e009efb4-4f59-46b6-a99b-bdf5e83d9b64 · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 84

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source=pdf_text observed=2026-08-04T07:32:30.355510Z digest=sha256:bcf47c25f23832171c84c8ef51c05e4165812e79bc7d9cadb6d0d184c995f554

Observation c2cb7d4d-fa26-4956-a950-f12622f1fef4 · outbound

This paper cites Sukhija, M.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Sukhija, M

Reference 85

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source=pdf_text observed=2026-08-04T07:32:30.359915Z digest=sha256:fb54c8075e2a456fca10c01d75fde9b53555da14fa8f22d7c0668ced2a17cf04

Observation 32d54f85-f7f2-4f70-af47-76f6b792d261 · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 86

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source=pdf_text observed=2026-08-04T07:32:30.363264Z digest=sha256:2f97165c8b239d820eca29034d993a9637d11a3ef91803ca867dee0a42b6a080

Observation 02a862b2-e9dc-412f-a19f-782ed664152d · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 87

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source=pdf_text observed=2026-08-04T07:32:30.368050Z digest=sha256:bb3c759f943403b6a9e4c3087e5342d6d56c94dd50c82ac0b5a51bed77f6a048

Observation 82a66b31-05d4-461d-8340-67f173a7914a · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 88

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source=pdf_text observed=2026-08-04T07:32:30.372459Z digest=sha256:eb3df90e8baada6af757cdb2e070302d3aa6fdf8643e4ee7e6ef3446d6e12773

Observation 973cef41-fecf-4e6e-9616-30ebb6675a53 · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 89

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source=pdf_text observed=2026-08-04T07:32:30.375946Z digest=sha256:93018dbbaad7c217aabad4055165c2c305fcc14ed24f7f414d8d9c2db91ac97e

Observation b95286e3-fb15-4aa9-8f9e-7a1a4f58650e · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 90

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source=pdf_text observed=2026-08-04T07:32:30.379617Z digest=sha256:006c6a41462a79156bd14b3eda757ec260a96cd6d00b32f3d166b27d32295116

Observation 5fac5015-b843-467d-b903-03b228ad71a8 · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 91

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source=pdf_text observed=2026-08-04T07:32:30.383741Z digest=sha256:7ff183f06cfbd34a11d51f76ca335ae91d127c74b5a38142ed399c37ac2527b9

Observation 0ec7be16-0215-43c3-aad1-4acc6a7d934a · outbound

This paper cites DeepMind Control Suite.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives DeepMind Control Suite

Reference 92

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source=pdf_text observed=2026-08-04T07:32:30.387942Z digest=sha256:2ca750d01b53b0ec787810b73d566f8b0c8a6e82d263d4b1aadef5ad03b34169

Observation 8338c15d-d754-403e-a98f-9268b98d11c7 · outbound

This paper cites Tayal, M.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Tayal, M

Reference 93

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source=pdf_text observed=2026-08-04T07:32:30.391523Z digest=sha256:6c655aed8d84a175f2a5b8bccbe88a824edcbd4bb7028809d669da0efb68da1d

Observation 6c187f98-0e30-4421-a1da-0bf4b26044a6 · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 94

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source=pdf_text observed=2026-08-04T07:32:30.395000Z digest=sha256:b6abf03c2af3ec479187ad93375b9efd9cb2bc87adca59e837ccc6a6514912b3

Observation ae20b7c9-f9b8-485b-ac80-128e6e568d05 · outbound

This paper cites Todorov, T.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Todorov, T

Reference 95

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source=pdf_text observed=2026-08-04T07:32:30.398575Z digest=sha256:32f3c5f3a2d5fbbf435437149a30b70c4279eb9520464ef6bd5c56a6f91d2069

Observation 1dbedad2-57de-4922-8dbd-3cda4367ef81 · outbound

This paper cites Analysisoftemporal-diffferencelearningwithfunctionapproximation.Advances in Neural Information Processing Systems, 9, 1996.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Analysisoftemporal-diffferencelearningwithfunctionapproximation.Advances in Neural Information Processing Systems, 9, 1996

Reference 96

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source=pdf_text observed=2026-08-04T07:32:30.401995Z digest=sha256:b7993b50ee150cd0d6503028aaab313aa0aa26438184b2c5a264a14f7484ac00

Observation 76765e40-38e2-4b38-964c-c5eeb18502f2 · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 97

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source=pdf_text observed=2026-08-04T07:32:30.406158Z digest=sha256:ac38418e4904978236183e02a38e5a51e5ba7066943b725035ab33ab41245056

Observation 13c2d2f2-4d77-4c65-a022-c5ad7665bcb9 · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 98

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source=pdf_text observed=2026-08-04T07:32:30.409812Z digest=sha256:6ae7e790f0efedda51d15e793d3e2a2d135ed7901f085124f40930f9bf68191b

Observation e844c06a-1044-4ce7-91cd-196cb66a7493 · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 99

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source=pdf_text observed=2026-08-04T07:32:30.414332Z digest=sha256:071125631ecdfa674e2a813aefdddd808518de15e43822d3699fbb5f6674d865

Observation a9aecf77-2545-4b41-99e4-5d8ccf1affb6 · outbound

This paper cites an unresolved cited work.

Foundations of Reinforcement Learning and Control:Connections and New Perspectives Unresolved cited work

Reference 100

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source=pdf_text observed=2026-08-04T07:32:30.418525Z digest=sha256:1f18a862903a3c838a3147d7628957ce4cefebe161418fd52ff91c40f067ec3d

Pith citing papers

No inbound Pith citation observations are available.