Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T18:19:02.314185Z
Paper Citation Record · LEDGER
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning
As of 22 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2606.20107.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
61 of 61 outbound references displayed
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- verified fuzzy0
- unresolved52
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External citation measurements
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Outbound references
Observation 12734446-02e3-496e-9c9c-8c6927650e7b · outbound
This paper cites Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics , pages =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics , pages =
Reference 1
- Resolution
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Observation 90c09c01-f499-4e9b-8afb-04f735e5d248 · outbound
This paper cites Bootstrapping Upper Confidence Bound , volume =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Bootstrapping Upper Confidence Bound , volume =
Reference 2
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Observation 83d3dee0-071f-4e6e-9397-c2e57a006008 · outbound
This paper cites Improved Regret of Linear Ensemble Sampling , volume =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Improved Regret of Linear Ensemble Sampling , volume =
Reference 3
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3d5789ba-d12b-48f3-a86a-3d6603c7cea9 · outbound
This paper cites Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees , volume =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees , volume =
Reference 4
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Observation 437a417e-f93a-45cd-aab6-81112fc29bab · outbound
This paper cites an unresolved cited work.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Unresolved cited work
Reference 5
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Observation afd9f37b-6cc7-4e0b-b09a-91c1d0d8c7ac · outbound
This paper cites 2025 , editor =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning 2025 , editor =
Reference 6
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Observation 5f76228e-88cd-4663-bcda-3e7ebeb8f117 · outbound
This paper cites Advances in neural information processing systems , volume=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Advances in neural information processing systems , volume=
Reference 7
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Observation 29389561-92da-4984-bdee-4875e2d2010a · outbound
This paper cites Advances in neural information processing systems , volume=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Advances in neural information processing systems , volume=
Reference 8
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Observation bd4335a7-45cc-4795-9d5b-e5232cdaeeb1 · outbound
This paper cites Advances in neural information processing systems , volume=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Advances in neural information processing systems , volume=
Reference 9
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Observation e4106064-bdb9-42ff-8e1e-ef0f12a4265b · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Advances in Neural Information Processing Systems , volume=
Reference 10
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Observation b0430f90-d916-4754-8338-28d5643adf49 · outbound
This paper cites Advances in neural information processing systems , volume=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Advances in neural information processing systems , volume=
Reference 11
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Observation b8342236-8844-4ce0-a9dc-5c94ce322339 · outbound
This paper cites Proceedings of the 32nd International Conference on Algorithmic Learning Theory , pages =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Proceedings of the 32nd International Conference on Algorithmic Learning Theory , pages =
Reference 12
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Observation f437fc4a-c2c8-4fef-a712-c2bb33b82326 · outbound
This paper cites Proceedings of the 40th International Conference on Machine Learning , pages =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Proceedings of the 40th International Conference on Machine Learning , pages =
Reference 13
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Observation 89a57b23-fec2-4b68-b4e6-8dd2409681f1 · outbound
This paper cites nature , volume=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning nature , volume=
Reference 14
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Observation aaf9fe1d-cf94-4299-a4bf-7055681f236e · outbound
This paper cites International conference on machine learning , pages=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning International conference on machine learning , pages=
Reference 15
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Observation da64238e-7157-427d-be5a-8737151a3336 · outbound
This paper cites Proximal Policy Optimization Algorithms.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Proximal Policy Optimization Algorithms
Reference 16
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation eab26384-a028-4c6d-a87d-40ab20c97758 · outbound
This paper cites International Conference on Machine Learning , pages=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning International Conference on Machine Learning , pages=
Reference 17
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Observation 20ff5d3f-bd4e-4b0f-a116-a5442656ccdb · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Advances in Neural Information Processing Systems , volume=
Reference 18
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Observation 21268bf4-4fd7-4aa3-8320-c0bbfa0b7825 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Advances in Neural Information Processing Systems , volume=
Reference 19
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Observation ca7fb98d-b44b-4fe6-8230-5d31e1be0947 · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 20
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Observation d4bd8b34-1b38-4130-9cee-fc4f2d48efb7 · outbound
This paper cites International conference on machine learning , pages=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning International conference on machine learning , pages=
Reference 21
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Observation 1380c393-1b4e-403e-b969-b0e67c4b1e64 · outbound
This paper cites Ross , title =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Ross , title =
Reference 22
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Observation 7a685bf5-2c9e-43ed-83b1-a794f8a82de6 · outbound
This paper cites International conference on machine learning , pages=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning International conference on machine learning , pages=
Reference 23
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Observation 5bd3de41-eb76-4281-afd9-205cdf429873 · outbound
This paper cites International Conference on Machine Learning , pages=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning International Conference on Machine Learning , pages=
Reference 24
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Observation c835a4c0-1a1e-48e0-8703-620700e6d563 · outbound
This paper cites International conference on machine learning , pages=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning International conference on machine learning , pages=
Reference 25
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Observation 0816ab43-8777-4fda-a912-8a47270f5260 · outbound
This paper cites Proceedings of the 36th International Conference on Machine Learning , pages =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Proceedings of the 36th International Conference on Machine Learning , pages =
Reference 26
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Observation 3ec1eaa9-3aed-4416-98ab-b68d0071ab44 · outbound
This paper cites Reinforcement Learning with Lookahead Information , volume =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Reinforcement Learning with Lookahead Information , volume =
Reference 27
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Observation 03af24e6-3c9c-40ea-8da0-3e78ebf94520 · outbound
This paper cites Proceedings of the 31st International Conference on Machine Learning , pages =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Proceedings of the 31st International Conference on Machine Learning , pages =
Reference 28
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Unavailable: canonical work link unavailable.
Observation 7bfe7b88-4c81-4464-940e-96c5a16c32d8 · outbound
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics , pages=
Reference 29
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Observation a92e5af0-eb7a-4c01-9ce3-06b915c55026 · outbound
This paper cites Freedman , journal =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Freedman , journal =
Reference 30
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Observation 0a6bb9ab-e3f3-42d8-bd69-ca8a5af13e7d · outbound
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Proceedings of the thirty-sixth annual ACM symposium on Theory of computing , pages=
Reference 31
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Observation 7ae7c894-47f4-4c60-b83c-99c6921cf039 · outbound
This paper cites UCB Exploration via Q-Ensembles.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning UCB Exploration via Q-Ensembles
Reference 32
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5f6787c5-a0c1-42d5-8ba7-d2a8eec5d5f6 · outbound
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning International Conference on Machine Learning , pages=
Reference 33
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Observation d9d22883-bfc5-4b3a-8a2f-b078a417c32a · outbound
This paper cites International Conference on Machine Learning , pages=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning International Conference on Machine Learning , pages=
Reference 34
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Observation 25390624-fe90-4077-ad9f-6c742bbb154a · outbound
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Advances in Neural Information Processing Systems , volume=
Reference 35
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Observation 1fc2edd4-9207-481e-861c-f1b1c5e766e1 · outbound
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Advances in neural information processing systems , volume=
Reference 36
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Observation 23ae7914-0cfa-4e89-8e78-cca036e5460c · outbound
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning The Role of Coverage in Online Reinforcement Learning
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b1de570e-f523-4a7e-83ef-c1052e64973d · outbound
This paper cites Anti-Concentrated Confidence Bonuses for Scalable Exploration.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Anti-Concentrated Confidence Bonuses for Scalable Exploration
Reference 38
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 778a3d1a-1d8e-44c0-bade-324633c8f74e · outbound
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
Reference 39
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6fc1296e-a623-4173-bb8f-f3e636d3f293 · outbound
This paper cites Proceedings of the 25th Annual Conference on Learning Theory , pages =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Proceedings of the 25th Annual Conference on Learning Theory , pages =
Reference 40
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Unavailable: canonical work link unavailable.
Observation 7eba8446-0c69-46a1-86c8-48d71543e639 · outbound
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Bulletin of the American Mathematical Society , volume=
Reference 41
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Advances in applied mathematics , volume=
Reference 42
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Observation 66331e35-7d7f-404d-ab99-8bda39808835 · outbound
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Machine learning , volume=
Reference 43
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Observation 9649b904-b5a8-466f-a223-de42e762f34c · outbound
This paper cites Proceedings of the 24th Annual Conference on Learning Theory , pages =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Proceedings of the 24th Annual Conference on Learning Theory , pages =
Reference 44
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfa263b9-c7ee-4b11-882a-25332a16cc0c · outbound
This paper cites Integer Programming and Combinatorial Optimization: 7th International IPCO Conference Graz, Austria, June 9--11, 1999 Proceedings , pages=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Integer Programming and Combinatorial Optimization: 7th International IPCO Conference Graz, Austria, June 9--11, 1999 Proceedings , pages=
Reference 45
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning ACM Transactions on Algorithms (TALG) , volume=
Reference 46
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Ensemble sampling for linear bandits: small ensembles suffice
Reference 47
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 57b4573f-5d30-42b6-8bb9-33be67fc7ba5 · outbound
This paper cites Another look at binomial and related distributions exceeding values close to their centre.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Another look at binomial and related distributions exceeding values close to their centre
Reference 48
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ddaf2d8e-2280-44ae-96e9-0fda97d8f066 · outbound
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning The Annals of Mathematical Statistics , pages=
Reference 49
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Observation b9af1033-f8ed-406e-9e53-e5b1969e23ce · outbound
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Theoretical Computer Science , volume=
Reference 50
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Observation 5ae20338-0ccb-4482-a672-7b390bc7b183 · outbound
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Residual Bootstrap Exploration for Bandit Algorithms , journal =
Reference 51
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Observation 6a772d50-c8f0-46f3-b131-9d46fb0d404c · outbound
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits , booktitle =
Reference 52
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Unavailable: canonical work link unavailable.
Observation dbac412d-d0a1-481d-8ea8-41501efbb0db · outbound
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Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Perturbed-History Exploration in Stochastic Multi-Armed Bandits , booktitle =
Reference 53
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Unavailable: canonical work link unavailable.
Observation 51f5203b-9f37-4d74-b051-29b91d343894 · outbound
This paper cites Bootstrapping Upper Confidence Bound , booktitle =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Bootstrapping Upper Confidence Bound , booktitle =
Reference 54
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01399bc1-c9ce-4010-96e8-7440140ffeaa · outbound
This paper cites Sub-sampling for Multi-armed Bandits , booktitle =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Sub-sampling for Multi-armed Bandits , booktitle =
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Observation d7b54a57-8e3e-43e7-989b-3eae3ab226e1 · outbound
This paper cites Sub-sampling for Efficient Non-Parametric Bandit Exploration , journal =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Sub-sampling for Efficient Non-Parametric Bandit Exploration , journal =
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Observation cb4651c6-beb3-4190-b78e-d3e89e128eae · outbound
This paper cites Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits , volume =.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits , volume =
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This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Thirty-seventh Conference on Neural Information Processing Systems , year=
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This paper cites On the absolute constants in the Berry-Esseen type inequalities for identically distributed summands.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning On the absolute constants in the Berry-Esseen type inequalities for identically distributed summands
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Observation e6ffe0b0-3100-42cb-a8b3-09b0533888f1 · outbound
This paper cites The Annals of Statistics , volume=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning The Annals of Statistics , volume=
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Observation 650ca7ee-5da9-4970-b03c-8f84d2b864f8 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning Advances in Neural Information Processing Systems , volume=
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