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Paper Citation Record · LEDGER

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2608.01917.

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

pith.paper-citation-record.v1
2608.01917 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:22:19.263723Z

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 300 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved97
  • parse uncertain2
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 8db38a2c-9b04-4ca8-9c63-c3f27c04b4e6 · outbound

This paper cites and Bhatnagar, Shalabh , journal=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning and Bhatnagar, Shalabh , journal=

Reference 1

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source=arxiv_source observed=2026-08-04T18:22:18.690856Z digest=sha256:9d90060d430d7bd27f77180b7184a5fe0b3c2fcb095ca3b9d624697cfd9190de

Observation 9118ebe3-b1de-4718-ac31-b8acdd26de97 · outbound

This paper cites Machine Learning , author =.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Machine Learning , author =

Reference 2

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source=arxiv_source observed=2026-08-04T18:22:18.695939Z digest=sha256:4a4d7b3a0afbda0c3f211eea7dd2dd5f7e8bb36b8123ee8b4da5ffdba437cef2

Observation e36e78f1-ecb8-4383-85ee-99630534485a · outbound

This paper cites Mathematical Methods of Operations Research , author =.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Mathematical Methods of Operations Research , author =

Reference 3

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source=arxiv_source observed=2026-08-04T18:22:18.701121Z digest=sha256:5dafaebe4b256107ef85f51d40fd2768cf9298e145349d285c144e7d2b6a4ee1

Observation 9c2af1d9-d4ed-469c-899a-3ec3f54ec7d8 · outbound

This paper cites Annual Reviews in Control , author =.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Annual Reviews in Control , author =

Reference 4

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source=arxiv_source observed=2026-08-04T18:22:18.706614Z digest=sha256:210398adbfe62ba18611fa21a36d648de41c46a9d68ca80afa855891844091ba

Observation 7ad6a522-a654-4909-b998-5af57ca24a3f · outbound

This paper cites IEEE Transactions on Automatic Control , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning IEEE Transactions on Automatic Control , volume=

Reference 5

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Observation 11b163b2-4328-49a8-aeee-2b37d4f799e5 · outbound

This paper cites , booktitle =.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning , booktitle =

Reference 6

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Observation bee477c4-d457-4244-bd46-5116ac377fdb · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning (ICML) , pages =.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Proceedings of the 41st International Conference on Machine Learning (ICML) , pages =

Reference 7

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Observation 0300aa3a-0786-4869-9516-676b81fb997e · outbound

This paper cites Journal of machine learning research , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Journal of machine learning research , volume=

Reference 8

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source=arxiv_source observed=2026-08-04T18:22:18.727304Z digest=sha256:86286f7d2c840cdb58cb86edee46968a8cc0508ee81d26d3b61fb345c6198d5b

Observation 175bc61a-9953-46b8-b607-f0f66e7db118 · outbound

This paper cites Conference on learning theory , pages=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Conference on learning theory , pages=

Reference 9

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Observation f1e38876-9e02-422f-be12-09e79b4e2c1e · outbound

This paper cites European Journal of Operational Research , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning European Journal of Operational Research , volume=

Reference 10

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Observation c349e537-f96e-4eac-900f-5374dde9ae85 · outbound

This paper cites Finite Sample Analysis of Average-Reward.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Finite Sample Analysis of Average-Reward

Reference 11

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Observation c2e5ed37-eed2-4841-adcf-6cedf792f3ad · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 12

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Observation eecfe608-48fe-41ff-9a9d-62fe086efad8 · outbound

This paper cites Proceedings of The 5th Annual Learning for Dynamics and Control Conference , pages =.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Proceedings of The 5th Annual Learning for Dynamics and Control Conference , pages =

Reference 13

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source=arxiv_source observed=2026-08-04T18:22:18.753131Z digest=sha256:ba9d7e81835e4b3d0d655d2a1308a17128ff5bb5315111ebed3d6d727e1028dd

Observation fb61a18d-bb60-40d0-a397-b0c1b039934a · outbound

This paper cites Optimal bounds for bit-sizes of stationary distributions in finite Markov chains.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Optimal bounds for bit-sizes of stationary distributions in finite Markov chains

Reference 14

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Observation e6325516-97d0-4cde-91a9-eddd09d22b04 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 15

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Observation df8872e7-cdbe-4652-bfb7-ec387efcd4c6 · outbound

This paper cites IEEE transactions on automatic control , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning IEEE transactions on automatic control , volume=

Reference 16

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Observation 143893c6-f56c-4fc4-a0ae-f6e74469aa79 · outbound

This paper cites Machine Learning , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Machine Learning , volume=

Reference 17

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Observation 12a2606f-0b95-4ff4-ae5c-26aaf6bfdd64 · outbound

This paper cites 2022 , volume =.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning 2022 , volume =

Reference 18

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Observation 6fbb45d0-de81-416e-97b4-598c0a31ab61 · outbound

This paper cites Mathematical Methods of Operations Research , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Mathematical Methods of Operations Research , volume=

Reference 19

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Observation da0f7704-db1d-4842-aee1-27a57bbe0a8d · outbound

This paper cites Advances in neural information processing systems , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Advances in neural information processing systems , volume=

Reference 20

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Observation 75682599-b845-403d-86d6-48d80a346511 · outbound

This paper cites and Baras, John S.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning and Baras, John S

Reference 21

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Observation 06662154-c51d-4f3e-99a3-d612f2f9c3e6 · outbound

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Risk-sensitive

Reference 22

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Observation 62329475-513f-46d5-94b5-bf38b77fe59d · outbound

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning 2011 , publisher=

Reference 23

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Observation 36fe0165-550a-41c8-81ac-aad91c7bce32 · outbound

This paper cites Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts

Reference 24

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Observation b05fe670-2f16-44af-8968-64511385fb09 · outbound

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning A utility criterion for

Reference 25

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Observation 43bd783d-26c7-46ad-9418-7ed015a7dedc · outbound

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Uncertainty in economics , pages=

Reference 26

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning 2002 , publisher=

Reference 27

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Observation b3e1cb71-3bbc-48e8-b13d-90476ca453b8 · outbound

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning 2025 , school=

Reference 28

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Observation d88ce866-ee02-47a6-9b18-bf0eb7f5cc49 · outbound

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning SIAM Journal on Applied Mathematics , volume=

Reference 29

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Unresolved cited work

Reference 30

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Observation 0d424e17-cfb3-48e7-8237-b6a56b2074aa · outbound

This paper cites Conference On Learning Theory , pages=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Conference On Learning Theory , pages=

Reference 31

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Observation c9569d53-91d8-4479-8a27-5015c2a166f5 · outbound

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Unresolved cited work

Reference 32

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Observation bc287802-30be-412e-bc1f-d10b44cb7b58 · outbound

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Lakshminarayanan and C

Reference 33

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Observation 38ddd001-628b-4517-98bb-486746ee6668 · outbound

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning and Ying, L

Reference 34

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Observation 2f5b5c23-6dea-4499-bf84-3cdd774c1a30 · outbound

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning The Annals of Applied Probability , volume=

Reference 35

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Observation 0c1fe015-dca3-4e28-8afb-a32906362ebe · outbound

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning The Annals of Applied Probability , volume=

Reference 36

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Observation 7c28c4da-4349-4587-94f8-54a8383e50d1 · outbound

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Conference On Learning Theory , pages=

Reference 37

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Observation 03b5a6fe-52b2-46f4-8c28-57c842d19b4c · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 38

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Observation bbff7235-68f3-4193-b772-96c5aa253958 · outbound

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Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Automatica , volume=

Reference 39

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Observation 1abdcdd6-17ce-4d6c-9237-40a2b54df874 · outbound

This paper cites SIAM Journal on Control and Optimization , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning SIAM Journal on Control and Optimization , volume=

Reference 40

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source=arxiv_source observed=2026-08-04T18:22:18.934795Z digest=sha256:ea07a5ee953939dd6a87d3ecd93c762ec9b4b5cb9c0d3e94b103e5678990b250

Observation d6aa574e-f74b-4aae-b6a2-804721cf1f9c · outbound

This paper cites and Bertsekas, D.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning and Bertsekas, D

Reference 41

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no resolver link, observed 2026-08-04T18:22:18.939159Z

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source=arxiv_source observed=2026-08-04T18:22:18.939159Z digest=sha256:9156e662fecc6b9b535b7d5d356efe73cae717c474d2bedce934178c4c65ad4e

Observation 6e06ee61-655f-42f2-9a18-67f76fd5b601 · outbound

This paper cites Operations Research Letters , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Operations Research Letters , volume=

Reference 42

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source=arxiv_source observed=2026-08-04T18:22:18.944294Z digest=sha256:30bf100244a1b20ebb303333d99375dbce0e3bb0d29df2e631c3c0b06e0bdcef

Observation b124759b-9a12-4133-9a31-427fe950e7ea · outbound

This paper cites 2009 , publisher=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning 2009 , publisher=

Reference 43

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no resolver link, observed 2026-08-04T18:22:18.949194Z

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source=arxiv_source observed=2026-08-04T18:22:18.949194Z digest=sha256:16906b965885a658fa8c2d503d74806ded1a7c091da696411380fe56d4427556

Observation fa2e63c3-1084-4e7a-a4c0-c001efb01bed · outbound

This paper cites an unresolved cited work.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Unresolved cited work

Reference 44

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source=arxiv_source observed=2026-08-04T18:22:18.953997Z digest=sha256:f37cc7e8a92d9807f80d5a716c86a58899b5fc30ad26817d1199d3e67a28dbc5

Observation 19fd20d5-9f56-466e-8614-cd9367240c10 · outbound

This paper cites an unresolved cited work.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Unresolved cited work

Reference 45

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source=arxiv_source observed=2026-08-04T18:22:18.958218Z digest=sha256:824319d48fe5a9e7acaeb9fa3f8745656b8d827e732dcdcdf79d662b58ab4fbb

Observation c8cf078e-3dff-4d41-904b-e10afc2dedd6 · outbound

This paper cites Operations Research Letters , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Operations Research Letters , volume=

Reference 46

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source=arxiv_source observed=2026-08-04T18:22:18.962342Z digest=sha256:586c74fef671f191241ba63001375f14284e4d62cfc15112ade76a1039e22f01

Observation a77c9f77-b43f-4f87-99c7-3bfcaa546f22 · outbound

This paper cites Operations Research Letters , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Operations Research Letters , volume=

Reference 47

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source=arxiv_source observed=2026-08-04T18:22:18.967254Z digest=sha256:171acca81f20f7ca5692acc5898155e54650a66f0a096849b56de3bd4d15f9cb

Observation be714e41-a9d9-4203-95f3-e53dc2ac0bcc · outbound

This paper cites 2020 , eprint=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning 2020 , eprint=

Reference 48

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source=arxiv_source observed=2026-08-04T18:22:18.972037Z digest=sha256:0c1447b550ba1a5236f9cad6405e298cb3fbbe9f14e4de53130fba99cef94236

Observation 3cb90f47-0ad6-41ab-9cbd-12fc1b4562b5 · outbound

This paper cites Proceedings of the 31st Conference On Learning Theory , pages =.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Proceedings of the 31st Conference On Learning Theory , pages =

Reference 49

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source=arxiv_source observed=2026-08-04T18:22:18.976757Z digest=sha256:e77c6ac5f59b44a44029c6644a370b2e69e4081ed81c954235f5f33c08c230f7

Observation e9b39222-53c8-427f-87b8-e970c2eb2a43 · outbound

This paper cites International Conference on Machine Learning , pages=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning International Conference on Machine Learning , pages=

Reference 50

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source=arxiv_source observed=2026-08-04T18:22:18.981525Z digest=sha256:9a3d9b479da999f159742aba998e8469b5085fa9d98c697b8d9e960e552a85d8

Observation 131d7d82-bb6f-4026-aad0-98f4e6af2541 · outbound

This paper cites A Policy Gradient Algorithm for the Risk-Sensitive Exponential Cost MDP.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning A Policy Gradient Algorithm for the Risk-Sensitive Exponential Cost MDP

Reference 51

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source=arxiv_source observed=2026-08-04T18:22:18.986360Z digest=sha256:e1e0e44278edf94b9f1978b9a23317c8a761c6c7e4ec5be6823904bd6cedbaa9

Observation eca4883d-f604-4df5-bfaf-ce253d98fceb · outbound

This paper cites Proceedings of the IEEE , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Proceedings of the IEEE , volume=

Reference 52

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source=arxiv_source observed=2026-08-04T18:22:18.990885Z digest=sha256:dc82136788f3709540f215106090e1d5c61ee53f9ad020bed7deec44a8e3bb7c

Observation b645de49-f1f6-4bf8-abc9-7b601a8f0927 · outbound

This paper cites Methodology and Computing in Applied Probability , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Methodology and Computing in Applied Probability , volume=

Reference 53

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source=arxiv_source observed=2026-08-04T18:22:18.995256Z digest=sha256:5b4956b692168fed083cc31d16ad83d99348ad17c6fdb83e293bfc42112aac24

Observation 76bf0df5-3a2a-401e-a94f-0243c08c8e9c · outbound

This paper cites A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants

Reference 54

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source=arxiv_source observed=2026-08-04T18:22:18.999794Z digest=sha256:c15d044ffc0f931eca79dec107f17d6dc7175f04730c06cab83b53924e48bf59

Observation 62c8ef94-0386-45b7-b0c7-0a31241b57bb · outbound

This paper cites Journal of Banking & Finance , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Journal of Banking & Finance , volume=

Reference 55

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source=arxiv_source observed=2026-08-04T18:22:19.009259Z digest=sha256:d035755d63a49ee35fe27f6f6f4148bd051df4014bba49127ba515057fba116f

Observation 348962b5-6861-41ea-a76b-5b4dc17f16a0 · outbound

This paper cites Journal of Banking & Finance , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Journal of Banking & Finance , volume=

Reference 56

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source=arxiv_source observed=2026-08-04T18:22:19.015312Z digest=sha256:90b56563e28f8d19bcc2210153210d450e576c9cbcbc766c73f988219cf6f274

Observation 345553d5-8f0c-4f32-9ad2-350071ebf3df · outbound

This paper cites and Blake, D.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning and Blake, D

Reference 57

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source=arxiv_source observed=2026-08-04T18:22:19.021495Z digest=sha256:8becbf109969d4e344a389cc6e19bd4305dcb1268fabf1718155f25d04841ef5

Observation e8a5e955-0773-4ecb-b636-7e15c1cbd02c · outbound

This paper cites Siam Review , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Siam Review , volume=

Reference 58

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source=arxiv_source observed=2026-08-04T18:22:19.026351Z digest=sha256:82d365d05a0004b4fa24092f9db6f595cbd4642afa39ecd96d22cb53a41364b5

Observation 272eb171-9ffd-48d9-80d8-50a95aca0b84 · outbound

This paper cites Finance and stochastics , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Finance and stochastics , volume=

Reference 59

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source=arxiv_source observed=2026-08-04T18:22:19.032519Z digest=sha256:3adfb588641fa119d04f4c4cde058ff277949795c16ffe5513d21c6ebfc05238

Observation a21000ea-36aa-4808-9e2c-dae3b7f45e85 · outbound

This paper cites SIAM Journal on Control and Optimization , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning SIAM Journal on Control and Optimization , volume=

Reference 60

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source=arxiv_source observed=2026-08-04T18:22:19.036997Z digest=sha256:62ebcb20104d6c7143b56bee8f6a22af9452ebea8d4ad7ea0a8024951599b3de

Observation a3a53880-6767-41f5-9efb-e133e6ab7cb8 · outbound

This paper cites Handbook of Sequential Analysis , pages=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Handbook of Sequential Analysis , pages=

Reference 61

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source=arxiv_source observed=2026-08-04T18:22:19.041959Z digest=sha256:a831af6ee1c09583cb58ec342fa5b6ad077adaf418d790c6f8f9128ed1ac01e2

Observation 8c3c8782-b052-4b75-a26f-0c0015ab0c37 · outbound

This paper cites 2016 , publisher=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning 2016 , publisher=

Reference 62

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source=arxiv_source observed=2026-08-04T18:22:19.046297Z digest=sha256:06bd7424415bb605f0a42d318789945ebf64a562850b8f5abec64b803170f650

Observation 5fa117c2-fcae-446f-8951-8c0643da1c61 · outbound

This paper cites Electronic Journal of Statistics , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Electronic Journal of Statistics , volume=

Reference 63

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source=arxiv_source observed=2026-08-04T18:22:19.052711Z digest=sha256:9ee4b8e5a1668a5958021a05ebe697f5f988379087d5ded2daf957022945861c

Observation 3b22e938-ba67-49b5-9c79-369178f51a1b · outbound

This paper cites Mathematics of operations research , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Mathematics of operations research , volume=

Reference 64

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source=arxiv_source observed=2026-08-04T18:22:19.058406Z digest=sha256:8558378988abcc2e5a48ff55ba7fd01db6296f41cab08d3d6b7dee1c44e164b6

Observation bf5b06f5-00da-4609-8bf5-26502e77c48a · outbound

This paper cites an unresolved cited work.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Unresolved cited work

Reference 65

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source=arxiv_source observed=2026-08-04T18:22:19.065133Z digest=sha256:4fd147e8c3a17678fe1c6d0c64138eded7bd199076a6b9bab75a3e7257667247

Observation 7dd47ac4-6349-4633-8c26-31e28a3515ee · outbound

This paper cites Bhatnagar and V.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Bhatnagar and V

Reference 66

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source=arxiv_source observed=2026-08-04T18:22:19.069843Z digest=sha256:4d1fc95f904b1966b96fe17d3291daaf311ae9eea52baecf6bbc1ef4b6a82e8e

Observation bb6f97e2-0f85-4fdd-9be2-d97ba9ed1e9a · outbound

This paper cites Systems & Control Letters , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Systems & Control Letters , volume=

Reference 67

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source=arxiv_source observed=2026-08-04T18:22:19.075831Z digest=sha256:f47e34a37185cd039637d4207912af3627156b0d5f80ef8c194ea270182b0c99

Observation efd2e365-0866-4a3e-8187-46483f30939a · outbound

This paper cites SIAM Journal on Control and Optimization , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning SIAM Journal on Control and Optimization , volume=

Reference 68

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source=arxiv_source observed=2026-08-04T18:22:19.081296Z digest=sha256:ae8126a8818ad2237a8d0255b52b1b93de0db9c5d9207909d1c4603bef59e7d3

Observation 8772cfc4-e81a-4165-b1da-b408505f9c86 · outbound

This paper cites Zhang and A.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Zhang and A

Reference 69

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no resolver link, observed 2026-08-04T18:22:19.086019Z

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source=arxiv_source observed=2026-08-04T18:22:19.086019Z digest=sha256:cbdf806cc38960883cb37fdb09418cf110ad448ad22edcfa47273359ba9d2a50

Observation 454544dc-d067-486e-9ec1-7f956b0027b9 · outbound

This paper cites International Conference on Machine Learning , pages =.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning International Conference on Machine Learning , pages =

Reference 70

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source=arxiv_source observed=2026-08-04T18:22:19.091581Z digest=sha256:f87743308df14db2836f87b04873a7c55048d74ab513014d3104b654e4704032

Observation ca26104c-0a33-4a7a-bb38-8521a022f96d · outbound

This paper cites International Conference on Machine Learning , pages=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning International Conference on Machine Learning , pages=

Reference 71

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source=arxiv_source observed=2026-08-04T18:22:19.095979Z digest=sha256:a1e9e2b9a0e3d1703fd575d580fb7e40296845911e7c7f23fd912e4156dbefa5

Observation 2dbbb8c3-3060-4315-8ff5-98b70f894059 · outbound

This paper cites an unresolved cited work.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Unresolved cited work

Reference 72

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source=arxiv_source observed=2026-08-04T18:22:19.101293Z digest=sha256:99552eb5224742ad538b3b1103145bd888a107ee618eeaa6095ff799a1a6af7f

Observation 2a1909b8-87a1-435f-b59c-6d248bf387de · outbound

This paper cites Annales de l'IHP Probabilit.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Annales de l'IHP Probabilit

Reference 73

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source=arxiv_source observed=2026-08-04T18:22:19.106213Z digest=sha256:b0c772fd98cf08d2175d911f43ade6c417e9bd266ce121d4379bcd3766f9537b

Observation feff9784-73e5-4ba1-85a0-1fe94e6acfba · outbound

This paper cites Conference on Learning Theory , pages=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Conference on Learning Theory , pages=

Reference 74

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no resolver link, observed 2026-08-04T18:22:19.110701Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:22:19.110701Z digest=sha256:3f71df814c19b1a2f8c0c6b0b3524195f188709b0bc0e982147aa421a471a56f

Observation a6b13972-5ec4-46d8-93d9-63d0073d62f4 · outbound

This paper cites International Conference on Machine Learning , pages=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning International Conference on Machine Learning , pages=

Reference 75

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source=arxiv_source observed=2026-08-04T18:22:19.116237Z digest=sha256:e0367c721598432b0cd5ce5ec61dd315aa1f96d34dd0369770a446cc2bef7b17

Observation f7e4b406-6a78-4cbd-b1f1-4ad8ef0eb740 · outbound

This paper cites The Annals of Probability , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning The Annals of Probability , volume=

Reference 76

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:22:19.122143Z digest=sha256:370a0a80b352a41bb5406cdbf54a29c582064e7427e38b999774714422caff61

Observation 399c86cd-8b6a-41e0-a437-f6775b0ca748 · outbound

This paper cites and Glynn, P.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning and Glynn, P

Reference 77

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source=arxiv_source observed=2026-08-04T18:22:19.126548Z digest=sha256:d873ca8057dd5933fc0722c47c4c587863ef57f10867ff3658c7e40482289774

Observation 5f457dab-e549-4639-943a-cb979e6ee8ac · outbound

This paper cites 2014 , publisher=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning 2014 , publisher=

Reference 78

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source=arxiv_source observed=2026-08-04T18:22:19.131417Z digest=sha256:f6ad2a6aee103015c38be3f1faae439ec207d8500c28a22d45be7247431d98a1

Observation 78ee7559-461a-433b-9ac9-c3744c26d1a3 · outbound

This paper cites Aleksandrov and V.I.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Aleksandrov and V.I

Reference 79

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:22:19.136367Z digest=sha256:d371db6c0e45cf5516daf7d7ff5e0b4878556b4097ac628a74c8f066bda0f87a

Observation d354f1d7-e2e9-4cee-afaf-be41c0c60110 · outbound

This paper cites , author=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning , author=

Reference 80

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source=arxiv_source observed=2026-08-04T18:22:19.141744Z digest=sha256:969d290b78ebf50f7702ed2beb59f432e551518a7004941af8d3a179c193ae68

Observation 783e1255-505a-412c-9b1f-4eaa8e93e4e9 · outbound

This paper cites Mathematics of Operations Research , volume=.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Mathematics of Operations Research , volume=

Reference 81

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Observation ae8b0974-bcc5-48d9-b853-6205bb35d884 · outbound

This paper cites More risk-sensitive.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning More risk-sensitive

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Observation bc23b54c-e54f-4bf4-af64-69a55a2f5b7a · outbound

This paper cites and Ruszczynski, A.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning and Ruszczynski, A

Reference 83

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source=arxiv_source observed=2026-08-04T18:22:19.156668Z digest=sha256:1072c44d4a0064bb5bc03b94321261483a2672d726c58e66e2431338b19d27c9

Observation 6c2107bd-10e9-4837-8e20-97cb52b1324a · outbound

This paper cites Policy Gradient for Coherent Risk Measures.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Policy Gradient for Coherent Risk Measures

Reference 84

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Observation ac26e41f-42c3-4b7e-a9fb-2e1818ca40d7 · outbound

This paper cites an unresolved cited work.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Unresolved cited work

Reference 85

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Observation 43f6bba2-ccfe-4bb3-b523-13d5b10611be · outbound

This paper cites Wiley Encyclopedia of Operations Research and Management Science , Title =.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Wiley Encyclopedia of Operations Research and Management Science , Title =

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source=arxiv_source observed=2026-08-04T18:22:19.171011Z digest=sha256:5c85775c24c241700fe03012e4b33f5fd875f221d8016979e8bf79f5b164544d

Observation e8e20687-03d8-4124-8a4d-9844d3e1b28a · outbound

This paper cites an unresolved cited work.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Unresolved cited work

Reference 87

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source=arxiv_source observed=2026-08-04T18:22:19.175419Z digest=sha256:cb1695913993a24d8ce0de56d73576753e5276775a40bec6eb12f3a1a135eddd

Observation f73c5fa1-8175-496b-8bbb-a6c909faec2e · outbound

This paper cites Bhatnagar and R.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Bhatnagar and R

Reference 88

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source=arxiv_source observed=2026-08-04T18:22:19.184860Z digest=sha256:a99098f5b199197508d241e94aa72c1b12ede61ae861668604d29232333313a6

Observation 09225190-4c15-458b-82f5-734551f461f9 · outbound

This paper cites an unresolved cited work.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Unresolved cited work

Reference 89

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source=arxiv_source observed=2026-08-04T18:22:19.189846Z digest=sha256:8b7fb3fd5b1c85691394aae505103ab9f2d35f9d8c32d9f5f578999627728b57

Observation 956c8f5f-ffc5-4bb5-b101-c8e525f8893f · outbound

This paper cites , Isbn =.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning , Isbn =

Reference 90

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source=arxiv_source observed=2026-08-04T18:22:19.195103Z digest=sha256:22c604cb941d8a212b2a643b2cc73b321cd000949ac1a4031ba3534628075fff

Observation 532b94a9-134b-456c-9751-68d6d762bdbd · outbound

This paper cites an unresolved cited work.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Unresolved cited work

Reference 91

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source=arxiv_source observed=2026-08-04T18:22:19.205703Z digest=sha256:3ca935221b214ed9e540ccc6c5213bcc6d007fa12e04b09295799bfb4f1e8585

Observation f73b968b-89c4-4e46-ac2d-090a1e86cc71 · outbound

This paper cites Barto and R.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Barto and R

Reference 92

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source=arxiv_source observed=2026-08-04T18:22:19.211275Z digest=sha256:1b8115a479ca2f3076f53d4c36dcdae2325aedb4a2e7be61b0908bd1f3bfe6b9

Observation 4f0083a1-3fbb-4ddb-a224-fd4dcd7fadd6 · outbound

This paper cites an unresolved cited work.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Unresolved cited work

Reference 93

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source=arxiv_source observed=2026-08-04T18:22:19.218986Z digest=sha256:390530f2a6545123958919483eab6e77b230232efcd62ef77ece257ee26a11d9

Observation 4f473516-335b-4bce-8115-738e8e5bc2d3 · outbound

This paper cites Shen and W.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Shen and W

Reference 94

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source=arxiv_source observed=2026-08-04T18:22:19.223387Z digest=sha256:a0e21b274ff91291faab7c188001be173141bf24f809698880c93012c00b1db0

Observation 067e723c-76d7-46b0-9a27-a08deb15e95b · outbound

This paper cites an unresolved cited work.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Unresolved cited work

Reference 95

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source=arxiv_source observed=2026-08-04T18:22:19.228159Z digest=sha256:1e6f1435a615a7596783fff03df575e9a5252faaceb2e652c1add2db2769e0fe

Observation 3d01eb7b-a00a-4903-b6ce-9cacd2d0dbea · outbound

This paper cites an unresolved cited work.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Unresolved cited work

Reference 96

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source=arxiv_source observed=2026-08-04T18:22:19.233112Z digest=sha256:31f63a4bf90600f3dd5c74cdbf5ff1fd7840a99f981fddcc6f7c03b6a087fac9

Observation ea3b4a3a-e50a-4098-9b5b-fb5a82651863 · outbound

This paper cites Basu and T.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Basu and T

Reference 97

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source=arxiv_source observed=2026-08-04T18:22:19.241771Z digest=sha256:2d35f3159044817d46f950f716596d8cbd5d7f2b844c42d21985c819e14f886e

Observation b89fdccc-073b-4fe9-9375-c7aab4fcc4c1 · outbound

This paper cites Mathematics of Operations Research , volume =.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Mathematics of Operations Research , volume =

Reference 98

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source=arxiv_source observed=2026-08-04T18:22:19.250319Z digest=sha256:294d016db5548bb3ee191eea8333576bcb474fb6a71c35f2c19df36a5282db3f

Observation b38c57ba-5be4-423d-85e8-6226159ffdb2 · outbound

This paper cites Mihatsch and R.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Mihatsch and R

Reference 99

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source=arxiv_source observed=2026-08-04T18:22:19.256617Z digest=sha256:be9ceaf53e16362c2fbe0daf8c125d72a114d31534228eed50517192937397e4

Observation 27f448c9-7221-4623-a10a-89d465a12901 · outbound

This paper cites Filar and D.

Finite-Time Analysis of Discounted Exponential-Utility Reinforcement Learning Filar and D

Reference 100

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source=arxiv_source observed=2026-08-04T18:22:19.263723Z digest=sha256:987784860c2d52cc61aeb9ef9609527f30c7b8accb0204137c824924f8409550

Pith citing papers

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