Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions | Paper Citation Record

Observation 14d4c429-7d32-4c9f-8a3e-03f50fc6269c · outbound

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

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions International Conference on Machine Learning , pages=

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.239431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 73453eab-37e1-4f8b-967b-65daaab3520b · outbound

This paper cites Conference on Learning Theory , pages=.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Conference on Learning Theory , pages=

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.381207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5db8998b-34fe-4760-8bcb-c3c0c5d4d7c8 · outbound

This paper cites Near-optimal Regret Using Policy Optimization in Online.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Near-optimal Regret Using Policy Optimization in Online

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.341134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5c621f20-e926-409d-ac62-4cb6a505d1c8 · outbound

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

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the 41st International Conference on Machine Learning , pages=

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.345951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 05a895cb-c2dc-4d63-b849-3a6d1a0eb3f3 · outbound

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

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions International Conference on Machine Learning , pages=

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.339102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 20323228-acb9-4341-9b07-f2fe5683d9ed · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the 34th International Conference on Machine Learning , pages =

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.334006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b571c96a-376b-4eaf-bbdc-16a809693033 · outbound

This paper cites Proceedings of Thirty Fourth Conference on Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of Thirty Fourth Conference on Learning Theory , pages =

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.269768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 85d2836e-8a92-4c80-b93e-fb39356e84a9 · outbound

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

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions International Conference on Machine Learning , pages=

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.326980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3225afe0-49ef-4e5b-8a53-0a08dec03ee8 · outbound

This paper cites Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.397181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ccd5974-909c-460a-b790-a20d1b0c7391 · outbound

This paper cites Non-Asymptotic Gap-Dependent Regret Bounds for Tabular.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Non-Asymptotic Gap-Dependent Regret Bounds for Tabular

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.361225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b960668c-5eb9-44c5-b74c-b90e2bfd2736 · outbound

This paper cites Online learning in episodic.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Online learning in episodic

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.359031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a1fb6b0-2645-4226-a0fc-8d077f6a329c · outbound

This paper cites an unresolved cited work.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-07-06T16:52:40.319840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45594917-e06d-48fe-81ec-bc38916cfaed · outbound

This paper cites Learning Adversarial.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Learning Adversarial

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.268635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1757f675-696d-435d-adb6-25d277b97c66 · outbound

This paper cites Policy Optimization in Adversarial.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Policy Optimization in Adversarial

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.316384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f194eb67-45c9-4105-b804-02d92d4f7fab · outbound

This paper cites an unresolved cited work.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-07-06T16:52:40.370981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6eb8e578-5ca1-4ca1-948b-67c146c569f9 · outbound

This paper cites Laurent and P.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Laurent and P

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.312811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c0992d9e-a455-4916-839e-cfc95685db02 · outbound

This paper cites Refined Lower Bounds for Adversarial Bandits , volume =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Refined Lower Bounds for Adversarial Bandits , volume =

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.259880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0bdcf0ce-552d-4d47-8257-9bae3ad77771 · outbound

This paper cites Probability and Mathematical Statistics , volume=.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Probability and Mathematical Statistics , volume=

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.321775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33c6b8d8-f7ab-4633-9ba0-64cd2dbc7cd0 · outbound

This paper cites 2013 , month =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions 2013 , month =

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.325340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1fa971e0-eb76-43ac-98ed-64bf069def4f · outbound

This paper cites Tuning Bandit Algorithms in Stochastic Environments.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Tuning Bandit Algorithms in Stochastic Environments

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.332323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dad72bcb-cd68-4dcc-a782-f0aab952156a · outbound

This paper cites Online Convex Optimization in Adversarial.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Online Convex Optimization in Adversarial

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.395018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eec37106-7870-4a44-9e85-da8a6caff019 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the 37th International Conference on Machine Learning , pages =

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.292144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d7911cad-e059-45e1-a737-dd470191f0d3 · outbound

This paper cites an unresolved cited work.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-07-06T16:52:40.223530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18fba09c-b30e-4ca9-9633-30eff050de10 · outbound

This paper cites Online Markov Decision Processes under Bandit Feedback , volume =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Online Markov Decision Processes under Bandit Feedback , volume =

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.406021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c4833ef-90c9-4662-99dc-7722f431363e · outbound

This paper cites Learning adversarial.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Learning adversarial

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.403917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8aeca06b-870a-4d02-9d44-e1de777d92ef · outbound

This paper cites Near-optimal regret for adversarial.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Near-optimal regret for adversarial

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.297517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef4a2f62-5098-4b17-9e9a-c3301233296b · outbound

This paper cites Delay-Adapted Policy Optimization and Improved Regret for Adversarial.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Delay-Adapted Policy Optimization and Improved Regret for Adversarial

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.275251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0e56bc8f-e625-4ed1-88c8-0fa5f1e6c559 · outbound

This paper cites Finite-Time Analysis of the Multiarmed Bandit Problem , year =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Finite-Time Analysis of the Multiarmed Bandit Problem , year =

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.407915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55f4fc67-b198-4ae1-bcde-4649e38d84c1 · outbound

This paper cites Journal of Machine Learning Research , year =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Journal of Machine Learning Research , year =

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.401904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 79b11b62-41de-4c04-958e-5faa2952870a · outbound

This paper cites Proceedings of the 25th Annual Conference on Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the 25th Annual Conference on Learning Theory , pages =

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.301336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 61c2ad1d-8f56-4911-8464-6682442becd8 · outbound

This paper cites Simultaneously Learning Stochastic and Adversarial Episodic.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Simultaneously Learning Stochastic and Adversarial Episodic

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.314549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ead8046c-1c24-467a-bf8d-e9d780a30add · outbound

This paper cites The best of both worlds: stochastic and adversarial episodic.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions The best of both worlds: stochastic and adversarial episodic

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.368711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b7a99ceb-326d-47e8-8956-00025523569a · outbound

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

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the 31st Conference On Learning Theory , pages =

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.273202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b6acfcb-4b3a-458a-82c3-a25c9792852a · outbound

This paper cites Tsallis-.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Tsallis-

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.395203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 283ef0d8-b7d3-4af1-88de-a7227d4cc57e · outbound

This paper cites Improved Analysis of the.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Improved Analysis of the

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.378556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ad86420-6132-4b63-bdcf-211a82a68f68 · outbound

This paper cites Proceedings of the 36th International Conference on Machine Learning , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the 36th International Conference on Machine Learning , pages =

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.335767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 069f8c57-4db0-4a62-9e12-88cdce021f82 · outbound

This paper cites Proceedings of Thirty Fourth Conference on Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of Thirty Fourth Conference on Learning Theory , pages =

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.385429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f3a43589-aff7-4c0a-9851-de826d671e9d · outbound

This paper cites Towards Best-of-All-Worlds Online Learning with Feedback Graphs , volume =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Towards Best-of-All-Worlds Online Learning with Feedback Graphs , volume =

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.309320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65157022-e1de-4bf0-9fcc-b32a67f06990 · outbound

This paper cites Proceedings of The 27th Conference on Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of The 27th Conference on Learning Theory , pages =

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.289311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d29675b0-ca26-420e-8511-4cd3846ba2eb · outbound

This paper cites Proceedings of the 31st International Conference on Machine Learning , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the 31st International Conference on Machine Learning , pages =

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.230166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b80e341a-a2d8-42a5-9890-bf1c7145cf5b · outbound

This paper cites 29th Annual Conference on Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions 29th Annual Conference on Learning Theory , pages =

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.295280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88bc35d7-fde4-467b-aa22-8d35e6dd8b77 · outbound

This paper cites An Improved Parametrization and Analysis of the.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions An Improved Parametrization and Analysis of the

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.237992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1fc76744-10bb-4bad-9298-0f5893c21a12 · outbound

This paper cites Adapting to Stochastic and Adversarial Losses in Episodic.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Adapting to Stochastic and Adversarial Losses in Episodic

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.266508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 30f6b5b5-eda3-4ef6-a4b1-46800372c064 · outbound

This paper cites Proceedings of Thirty Sixth Conference on Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of Thirty Sixth Conference on Learning Theory , pages =

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.373563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce6b0064-2ed7-49a0-b78b-04f67489f4c6 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Advances in Neural Information Processing Systems , volume=

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.337481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef46ec24-05b7-4742-ba9a-e616892f0806 · outbound

This paper cites Proceedings of Thirty Sixth Conference on Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of Thirty Sixth Conference on Learning Theory , pages =

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.402086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c8b63570-73c8-4d00-9521-052f06db5f20 · outbound

This paper cites Proceedings of The 26th International Conference on Artificial Intelligence and Statistics , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of The 26th International Conference on Artificial Intelligence and Statistics , pages =

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.348423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f761abec-1550-4e4b-8410-5c0bfe4d2265 · outbound

This paper cites Follow-the-Perturbed-Leader Approaches Best-of-Both-Worlds for the m-Set Semi-Bandit Problems.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Follow-the-Perturbed-Leader Approaches Best-of-Both-Worlds for the m-Set Semi-Bandit Problems

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:55:35.892402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b079470e-a09c-47a0-bd46-652dc5cec595 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions International Conference on Artificial Intelligence and Statistics , pages=

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.228386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7351568b-25a9-4068-b13f-e3efda3a9fad · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the 38th International Conference on Machine Learning , pages =

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.406228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 975437ad-7c4b-4ea9-8ca0-5cc0b847ecbb · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Advances in Neural Information Processing Systems , volume=

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.352860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ebe4fd21-114e-47a6-9268-908d3f87c90c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Advances in Neural Information Processing Systems , volume=

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.323736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18ef48be-ef84-4f11-ac6e-5a0301de82d1 · outbound

This paper cites International Conference on Algorithmic Learning Theory , pages=.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions International Conference on Algorithmic Learning Theory , pages=

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.376249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5336e48-97d2-452f-b844-47925bb868f2 · outbound

This paper cites Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs , volume =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs , volume =

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.271271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49eaa7ff-e90a-4c68-8843-76c717c97ab1 · outbound

This paper cites Journal of Machine Learning Research , year =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Journal of Machine Learning Research , year =

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.248384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 08eb070e-a267-4f22-a582-9e9212c0c8cb · outbound

This paper cites Proceedings of Algorithmic Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of Algorithmic Learning Theory , pages =

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.299423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0b9b304d-242e-44b7-9f9e-5a9ae06d0959 · outbound

This paper cites Proceedings of the Thirty-Second Conference on Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the Thirty-Second Conference on Learning Theory , pages =

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.388785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b2b371ee-f2dc-41f4-a3ae-5e9bcb46a8b2 · outbound

This paper cites Proceedings of the 28th Conference on Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the 28th Conference on Learning Theory , pages =

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.390680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2719bc76-2c44-4fdf-8959-5355e859fa57 · outbound

This paper cites Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits:.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits:

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.277184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad6ab9f6-3957-433f-bbf8-240cbc4db948 · outbound

This paper cites Gap-Dependent Bounds for.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Gap-Dependent Bounds for

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.330346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 734b30cd-ee00-4ded-b903-214fa1599dbd · outbound

This paper cites Proceedings of the 26th Annual Conference on Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the 26th Annual Conference on Learning Theory , pages =

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.258818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7a008eb7-8a0f-433c-aab6-24c3fe8865e9 · outbound

This paper cites Proceedings of the 31st International Conference on Machine Learning , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the 31st International Conference on Machine Learning , pages =

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.392809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 05a66b6a-d885-4d27-bf79-232c002494e2 · outbound

This paper cites SIAM Journal on Computing , year =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions SIAM Journal on Computing , year =

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.264201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16a038d2-a79f-469d-afdb-a9a93c832959 · outbound

This paper cites Proceedings of Thirty Eighth Conference on Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of Thirty Eighth Conference on Learning Theory , pages =

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.399941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f334187-8f02-4e90-b1f0-4194950b9dd9 · outbound

This paper cites Proceedings of the Nineteenth International Conference on Machine Learning , pages=.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the Nineteenth International Conference on Machine Learning , pages=

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.291102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d1c1ef9b-7c8e-4ab8-87f0-75b1bede660e · outbound

This paper cites Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics , pages =

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.386464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 46308e1a-e16c-4827-8310-11d5b19ee355 · outbound

This paper cites , author=.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions , author=

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.378348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b9eb6bdc-d7d5-4fa2-9b68-cd3649abfeab · outbound

This paper cites IEEE Transactions on Neural Networks , volume=.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions IEEE Transactions on Neural Networks , volume=

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.325515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56f0e67a-ed8d-45aa-aa73-4392dea58ee7 · outbound

This paper cites 2003 , booktitle =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions 2003 , booktitle =

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.404206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c2186f21-3fad-4ae9-a1c9-031e754cf68f · outbound

This paper cites Information and Computation , volume=.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Information and Computation , volume=

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.352052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0a6b86b-a741-4147-bdca-1198d3ff7a38 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proximal Policy Optimization Algorithms

Reference 71

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T08:55:35.889593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5dac5bd2-ce00-4818-83e5-6edfbfc22023 · outbound

This paper cites and Veness, Joel and Bellemare, Marc G.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions and Veness, Joel and Bellemare, Marc G

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.256923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 64ef28e4-d109-4630-8e76-61f152b6f25f · outbound

This paper cites Nature Medicine , volume=.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Nature Medicine , volume=

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.372950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6b2b7331-052d-422e-913b-d221591b1cf7 · outbound

This paper cites Empirical.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Empirical

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.328708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 02221255-3002-405d-9dea-7106dafe63e7 · outbound

This paper cites Proceedings of the 25th Annual Conference on Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the 25th Annual Conference on Learning Theory , pages =

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.383001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0e3c5536-7364-4b30-bac2-00b4f2c0ab60 · outbound

This paper cites Reinforcement Learning from Adversarial Preferences in Tabular.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Reinforcement Learning from Adversarial Preferences in Tabular

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.279149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 048475ad-6b6f-4e6d-82b6-f8446350cf73 · outbound

This paper cites Proceedings of Thirty Seventh Conference on Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of Thirty Seventh Conference on Learning Theory , pages =

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.288156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 328d5ee9-e3a3-488f-a8d2-9aea70f402ed · outbound

This paper cites M arkov Decision Processes with Arbitrary Reward Processes.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions M arkov Decision Processes with Arbitrary Reward Processes

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.307301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 07fd084d-5d60-4008-855a-81960e3a7ce2 · outbound

This paper cites Proceedings of Thirty Sixth Conference on Learning Theory , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of Thirty Sixth Conference on Learning Theory , pages =

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.311024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a85d3468-c1fd-4e7b-b48d-8c1283dbe9b1 · outbound

This paper cites Proceedings of the 39th International Conference on Machine Learning , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the 39th International Conference on Machine Learning , pages =

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.234774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e9096485-519a-4d85-8e7e-de228c345a8e · outbound

This paper cites 2009 , author =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions 2009 , author =

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.305606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b800689a-e08e-43bc-b1d7-7f7352943bba · outbound

This paper cites Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds , volume =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds , volume =

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.363486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation abb9c9b2-1291-4586-9c3f-a45891fbcc19 · outbound

This paper cites Episodic Reinforcement Learning in Finite.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Episodic Reinforcement Learning in Finite

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.355915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2604cc15-1e64-45f0-b27d-a2c119553618 · outbound

This paper cites Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics , pages =

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.399771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6865871f-6166-4178-ad00-ffc61fb2db14 · outbound

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

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions International Conference on Machine Learning , year =

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.354755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5d6dfc3b-f803-42a3-a658-c37bc2f2bb6f · outbound

This paper cites Narrowing the Gap between Adversarial and Stochastic.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Narrowing the Gap between Adversarial and Stochastic

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.368877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40ba6c59-3631-4677-ba57-2d8ab9a7cc61 · outbound

This paper cites Proceedings of the 32nd International Conference on Machine Learning , pages =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Proceedings of the 32nd International Conference on Machine Learning , pages =

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.318135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1283848a-a0b0-449f-91e3-da4a95ad938c · outbound

This paper cites Advances in Neural Information Processing Systems , publisher =.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Advances in Neural Information Processing Systems , publisher =

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.343968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65a0f318-5b1e-4248-81bb-e8d6426791b9 · outbound

This paper cites Fine-Grained Gap-Dependent Bounds for Tabular.

Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions Fine-Grained Gap-Dependent Bounds for Tabular

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T16:52:40.383860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers