Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis | Paper Citation Record

Observation 4d26834a-d4ce-4fda-9441-52e06de6fbd9 · outbound

This paper cites Mastering the game of go with deep neural networks and tree search.nature, 529(7587):484–489, 2016.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Mastering the game of go with deep neural networks and tree search.nature, 529(7587):484–489, 2016

Reference 1

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This paper cites Douzero: Mastering doudizhu with self-play deep reinforcement learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Douzero: Mastering doudizhu with self-play deep reinforcement learning

Reference 2

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This paper cites Honor of kings arena: an environment for generalization in competitive reinforcement learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Honor of kings arena: an environment for generalization in competitive reinforcement learning

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This paper cites On efficient reinforcement learning for full-length game of starcraft ii.Journal of Artificial Intelligence Research, 75:213–260, 2022.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis On efficient reinforcement learning for full-length game of starcraft ii.Journal of Artificial Intelligence Research, 75:213–260, 2022

Reference 4

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Observation e3a664c7-e609-4c0f-baaf-8cd19f03444b · outbound

This paper cites Sim-to-real transfer in deep reinforcement learning for robotics: a survey.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Sim-to-real transfer in deep reinforcement learning for robotics: a survey

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Observation 3fe4120d-b114-4d0f-8c58-fd72d0565cf0 · outbound

This paper cites Sim-to-real transfer of robotic control with dynamics randomization.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Sim-to-real transfer of robotic control with dynamics randomization

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This paper cites Domain randomiza- tion for transferring deep neural networks from simulation to the real world.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Domain randomiza- tion for transferring deep neural networks from simulation to the real world

Reference 7

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Observation 4ac9a28b-e264-41ae-81b6-f199731c73b6 · outbound

This paper cites Deep reinforce- ment learning that matters.Proceedings of the AAAI Conference on Artificial Intelligence, 32(1), 2018.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Deep reinforce- ment learning that matters.Proceedings of the AAAI Conference on Artificial Intelligence, 32(1), 2018

Reference 8

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Observation 25bf0507-06e5-4627-80ed-fd0c9b82d074 · outbound

This paper cites EPOpt: Learning Robust Neural Network Policies Using Model Ensembles.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis EPOpt: Learning Robust Neural Network Policies Using Model Ensembles

Reference 9

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Observation bd1772ca-b9d8-4a2d-a485-846850f30d09 · outbound

This paper cites A Study on Overfitting in Deep Reinforcement Learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis A Study on Overfitting in Deep Reinforcement Learning

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Observation 08dfd164-3590-4ee2-aa1a-7d2bafadf905 · outbound

This paper cites Solving uncertain Markov decision processes.Carnegie Mellon University, Technical Report, 2001.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Solving uncertain Markov decision processes.Carnegie Mellon University, Technical Report, 2001

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Observation 88ad3ab9-4db6-42cf-8c00-31354b7910e2 · outbound

This paper cites Robustness in Markov decision problems with uncertain transition matrices.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Robustness in Markov decision problems with uncertain transition matrices

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Observation c2e870ad-258f-4c4e-8d40-b7002998c790 · outbound

This paper cites Robust dynamic programming.Mathematics of Operations Research, 30(2):257–280, 2005.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Robust dynamic programming.Mathematics of Operations Research, 30(2):257–280, 2005

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This paper cites Robust adversarial reinforcement learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Robust adversarial reinforcement learning

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This paper cites Atia, and Yue Wang.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Atia, and Yue Wang

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Observation 8e3e992f-0cc6-48ed-bf4e-7d7b9e3a16c6 · outbound

This paper cites A reinforcement learning method for maximizing undiscounted rewards.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis A reinforcement learning method for maximizing undiscounted rewards

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This paper cites True online td (lambda).

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis True online td (lambda)

Reference 17

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Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Unresolved cited work

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Observation 10e188f0-2da0-495c-930f-e6ac0e546bfc · outbound

This paper cites Learning algorithms for Markov decision processes with average cost.SIAM Journal on Control and Optimization, 40(3):681–698, 2001.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Learning algorithms for Markov decision processes with average cost.SIAM Journal on Control and Optimization, 40(3):681–698, 2001

Reference 19

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Observation 5a9308df-8781-424a-b142-ecf4db2669bb · outbound

This paper cites Reinforcement learning in robotics: A survey.The International Journal of Robotics Research, 32(11):1238–1274, 2013.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Reinforcement learning in robotics: A survey.The International Journal of Robotics Research, 32(11):1238–1274, 2013

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This paper cites A dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach.Applied energy, 220:220–230, 2018.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis A dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach.Applied energy, 220:220–230, 2018

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Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Unresolved cited work

Reference 22

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Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Unresolved cited work

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Observation 46338669-06e2-477f-b2b1-171aa9535c93 · outbound

This paper cites Learning to trade via direct reinforcement.IEEE transactions on neural Networks, 12(4):875–889, 2001.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Learning to trade via direct reinforcement.IEEE transactions on neural Networks, 12(4):875–889, 2001

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Observation 0d14b53b-01d8-40e8-a516-9178f6e221de · outbound

This paper cites Reinforcement learning in economics and finance.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Reinforcement learning in economics and finance

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Observation 72157e8a-bd7e-4818-ba9f-e85f85f0fa9a · outbound

This paper cites PhD thesis, Université d’Ottawa/University of Ottawa, 2021.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis PhD thesis, Université d’Ottawa/University of Ottawa, 2021

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Observation 3fe792d5-1114-4f2e-ac90-bd4b1d151b1b · outbound

This paper cites Deep reinforcement learning model for stock portfolio management based on data fusion.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Deep reinforcement learning model for stock portfolio management based on data fusion

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Observation c504f33f-4f56-49b2-9216-1206f387d8e1 · outbound

This paper cites John Wiley & Sons, 2013.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis John Wiley & Sons, 2013

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Observation 312039e8-b8a7-4799-b573-f31a2ba735b3 · outbound

This paper cites Model-free robust average-reward reinforcement learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Model-free robust average-reward reinforcement learning

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This paper cites Beyond discounted returns: Robust Markov decision processes with average and Blackwell optimality.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Beyond discounted returns: Robust Markov decision processes with average and Blackwell optimality

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This paper cites Near Sample-Optimal Reduction-based Policy Learning for Average Reward MDP.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Near Sample-Optimal Reduction-based Policy Learning for Average Reward MDP

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This paper cites Span-Based Optimal Sample Complexity for Average Reward MDPs.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Span-Based Optimal Sample Complexity for Average Reward MDPs

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Observation ebba0abb-edd2-4f8c-bd25-42c2b4be8d86 · outbound

This paper cites Robust average-reward Markov decision processes.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Robust average-reward Markov decision processes

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This paper cites Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor

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Observation 7df5871f-2f1b-4e21-9a7d-d4dc57982ba2 · outbound

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Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis A reduction framework for distributionally robust reinforcement learning under average reward

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This paper cites Efficient Q-Learning and Actor-Critic Methods for Robust Average-Reward Reinforcement Learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Efficient Q-Learning and Actor-Critic Methods for Robust Average-Reward Reinforcement Learning

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Observation 731997b1-12fc-4481-89e5-315d3905efa7 · outbound

This paper cites Finite-sample analysis of policy evaluation for robust average reward reinforcement learning.arXiv preprint arXiv:2502.16816, 2025.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Finite-sample analysis of policy evaluation for robust average reward reinforcement learning.arXiv preprint arXiv:2502.16816, 2025

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This paper cites Sample complexity of distributionally robust average-reward reinforce- ment learning.arXiv preprint arXiv:2505.10007, 2025.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Sample complexity of distributionally robust average-reward reinforce- ment learning.arXiv preprint arXiv:2505.10007, 2025

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This paper cites Dynamic Programming and Optimal Control 3rd edition, volume II.Belmont, MA: Athena Scientific, 2011.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Dynamic Programming and Optimal Control 3rd edition, volume II.Belmont, MA: Athena Scientific, 2011

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Observation 3bf91cab-7322-4085-89b1-f779c1e5d78b · outbound

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Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Fixed points of nonexpanding maps.Bulletin of the American Mathematical Society, 73(6):957–961, 1967

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This paper cites On the convergence rate of the Halpern-iteration.Optimization Letters, 15(2):405–418, 2021.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis On the convergence rate of the Halpern-iteration.Optimization Letters, 15(2):405–418, 2021

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Observation f6508e46-19b5-4062-942a-46c20f72112f · outbound

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Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Near-Optimal Sample Complexity for MDPs via Anchoring

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Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Online robust reinforcement learning with model uncertainty

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Observation 79954e55-b9b0-4351-b1de-d7a892a9c78a · outbound

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Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Policy gradient method for robust reinforcement learning

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Observation 4957033f-4b06-4e80-8eec-b8f1f563a3f2 · outbound

This paper cites Minimax-Optimal Multi-Agent Robust Reinforcement Learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Minimax-Optimal Multi-Agent Robust Reinforcement Learning

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Observation a70223d0-d33b-4d53-ab1a-7619e15e51a2 · outbound

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Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis An Efficient Solution to s-Rectangular Robust Markov Decision Processes

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Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Robust Markov decision processes.Mathematics of Operations Research, 38(1):153–183, 2013

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Observation 86f4ac45-2605-42ef-a246-ae1e404bc3ef · outbound

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Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Sample complexity of robust reinforcement learning with a generative model

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This paper cites The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model

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Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Improved sample complexity bounds for distributionally robust reinforcement learning

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Observation 2aedd444-f311-4d75-82a7-65b9c1fc94ec · outbound

This paper cites Learning and planning in average-reward Markov decision processes.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Learning and planning in average-reward Markov decision processes

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Observation f0c00779-a547-44fc-9bcb-341c24aade4a · outbound

This paper cites On Convergence of Average-Reward Off-Policy Control Algorithms in Weakly Communicating MDPs.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis On Convergence of Average-Reward Off-Policy Control Algorithms in Weakly Communicating MDPs

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Observation 368010cc-a2a8-46d9-92c0-8c2b32488ac2 · outbound

This paper cites The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis The Plug-in Approach for Average-Reward and Discounted MDPs: Optimal Sample Complexity Analysis

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Observation 4fc46e46-8a10-4048-8159-a798b104e511 · outbound

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Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Sharper model-free reinforcement learning for average-reward Markov decision processes

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:57.200349Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 338b6fba-9057-4f73-81b2-e094b64a5a5f · outbound

This paper cites Finite sample analysis of average-reward TD learning andQ-learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Finite sample analysis of average-reward TD learning andQ-learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:57.180856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 16119503-5435-46f9-b367-31935e38d1b4 · outbound

This paper cites A first order method for solving convex bilevel optimization problems.SIAM Journal on Optimization, 27(2):640–660, 2017.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis A first order method for solving convex bilevel optimization problems.SIAM Journal on Optimization, 27(2):640–660, 2017

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.330060Z

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Observation 8281b926-a697-47fe-9c30-0197123579d3 · outbound

This paper cites Exact optimal accelerated complexity for fixed-point iterations.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Exact optimal accelerated complexity for fixed-point iterations

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:57.147868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a810d212-e376-4b4a-bd04-2c33a966d48e · outbound

This paper cites Optimal error bounds for non-expansive fixed-point iterations in normed spaces.Mathematical Programming, 199(1):343–374, 2023.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Optimal error bounds for non-expansive fixed-point iterations in normed spaces.Mathematical Programming, 199(1):343–374, 2023

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.341859Z

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Observation 7e7f076f-034e-4a4a-bd36-18af452e264c · outbound

This paper cites Optimal non-asymptotic rates of value iteration for average-reward markov decision processes.arXiv preprint arXiv:2504.09913, 2025.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Optimal non-asymptotic rates of value iteration for average-reward markov decision processes.arXiv preprint arXiv:2504.09913, 2025

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Resolution: verified exact; raw_fallback, observed 2026-08-15T20:45:56.251252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0179c015-5c57-402a-8a54-9d2524c23b05 · outbound

This paper cites Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.352235Z

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Observation 73ea37a3-fa74-4ac4-ad76-62c9d6d337a5 · outbound

This paper cites Minimax optimal and computationally efficient algorithms for distributionally robust offline reinforcement learning.arXiv preprint arXiv:2403.09621, 2024.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Minimax optimal and computationally efficient algorithms for distributionally robust offline reinforcement learning.arXiv preprint arXiv:2403.09621, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.358774Z

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Observation 41b163ad-42a6-4882-bdf9-0dca89716d64 · outbound

This paper cites McGill University (Canada), 2021.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis McGill University (Canada), 2021

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:57.107802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5556fe4f-b56f-4df7-8f14-823e3d65a13a · outbound

This paper cites Distribution- ally robustQ-learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Distribution- ally robustQ-learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:57.085211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a6a48b0e-fe83-437e-a98e-c9454632999b · outbound

This paper cites Truncated Variance Reduced Value Iteration.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Truncated Variance Reduced Value Iteration

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.376217Z

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Observation afefc198-8f6d-4aa6-af39-c1728aa97aae · outbound

This paper cites Optimal approximation of average reward markov decision processes.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Optimal approximation of average reward markov decision processes

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:57.061174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6291b4b6-4fc3-4311-bbb2-2b5e064cb378 · outbound

This paper cites Optimal Sample Complexity for Average Reward Markov Decision Processes.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Optimal Sample Complexity for Average Reward Markov Decision Processes

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Resolution: verified exact; local_arxiv, observed 2026-08-15T20:45:56.060257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbcd3ccd-dc07-4cd4-a930-e02b95d2e698 · outbound

This paper cites Optimal Sample Complexity of Reinforcement Learning for Mixing Discounted Markov Decision Processes.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Optimal Sample Complexity of Reinforcement Learning for Mixing Discounted Markov Decision Processes

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Resolution: verified exact; local_arxiv, observed 2026-08-15T20:45:56.034715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec06317d-4efe-436b-9f2a-14d16d134575 · outbound

This paper cites Feasible q-learning for average reward reinforcement learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Feasible q-learning for average reward reinforcement learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:57.037853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f8309385-1e25-41c3-b22f-454f64601c69 · outbound

This paper cites Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.405318Z

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Observation d8ccf8a8-f416-4469-8e24-c1d9a1b5e8ad · outbound

This paper cites Tightening the dependence on horizon in the sample complexity of q-learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Tightening the dependence on horizon in the sample complexity of q-learning

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:57.017859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6d3af054-8da4-48b8-95a8-8e61ef415611 · outbound

This paper cites Achieving the asymptotically minimax optimal sample complexity of offline reinforcement learning: A DRO-based approach.Transactions on Machine Learning Research, 2024.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Achieving the asymptotically minimax optimal sample complexity of offline reinforcement learning: A DRO-based approach.Transactions on Machine Learning Research, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:56.998296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3475e849-e554-4f88-a71e-ee3ac9f89f61 · outbound

This paper cites Gambling in a rigged casino: The adversarial multi-armed bandit problem.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Gambling in a rigged casino: The adversarial multi-armed bandit problem

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Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.421904Z

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Observation fbc64807-e11b-4f17-a8a1-5a588ff2601b · outbound

This paper cites What Doubling Tricks Can and Can't Do for Multi-Armed Bandits.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis What Doubling Tricks Can and Can't Do for Multi-Armed Bandits

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Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.427082Z

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Observation d620034c-9e67-4f37-a518-62646140225c · outbound

This paper cites Reducing blackwell and average optimality to discounted MDPs via the blackwell discount factor.Advances in Neural Information Processing Systems, 36, 2024.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Reducing blackwell and average optimality to discounted MDPs via the blackwell discount factor.Advances in Neural Information Processing Systems, 36, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:56.965390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3643a70c-a5ad-47f9-a32a-602042336f2d · outbound

This paper cites Finding good policies in average-reward Markov Decision Processes without prior knowledge.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Finding good policies in average-reward Markov Decision Processes without prior knowledge

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Resolution: verified exact; local_arxiv, observed 2026-08-15T20:45:55.971177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 797ef007-ed44-46d6-93e1-003df84b07f1 · outbound

This paper cites Model-free robust reinforcement learning with sample complexity analysis.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Model-free robust reinforcement learning with sample complexity analysis

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:56.947229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bef91495-4b79-44ee-b2d2-151a0645a5ed · outbound

This paper cites Bounded parameter Markov decision processes with average reward criterion.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Bounded parameter Markov decision processes with average reward criterion

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:56.924798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fcd4fd70-0b96-4efa-b7ef-a3b957949251 · outbound

This paper cites Bellman optimality of average-reward robust markov decision processes with a constant gain.arXiv preprint arXiv:2509.14203, 2025.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Bellman optimality of average-reward robust markov decision processes with a constant gain.arXiv preprint arXiv:2509.14203, 2025

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Resolution: verified exact; raw_fallback, observed 2026-08-15T20:45:55.945028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf7f92d9-6f21-470b-8ce1-f1505ebfcdd4 · outbound

This paper cites Solving Long-run Average Reward Robust MDPs via Stochastic Games.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Solving Long-run Average Reward Robust MDPs via Stochastic Games

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Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.462391Z

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Observation 0323bc47-76a1-48a6-ab37-ffcac4ab488e · outbound

This paper cites Reinforcement learning in robust Markov decision processes.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Reinforcement learning in robust Markov decision processes

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:56.902355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 83e1f644-ffc9-4576-b919-8d896900f98c · outbound

This paper cites Toward theoretical understandings of robust markov decision processes: Sample complexity and asymptotics.The Annals of Statistics, 50(6):3223–3248, 2022.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Toward theoretical understandings of robust markov decision processes: Sample complexity and asymptotics.The Annals of Statistics, 50(6):3223–3248, 2022

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Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.476517Z

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Observation 288d8550-4d1c-473e-a74e-e10ee77594f4 · outbound

This paper cites Finite-sample regret bound for distributionally robust offline tabular reinforcement learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Finite-sample regret bound for distributionally robust offline tabular reinforcement learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:56.871560Z

Source-reported events for the cited work

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Observation b5d591de-c93f-4a01-835b-3f9633b1cb0e · outbound

This paper cites A finite sample complexity bound for distributionally robustq-learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis A finite sample complexity bound for distributionally robustq-learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:56.851425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ae1f8c9d-162f-4da7-a650-84c95a131da9 · outbound

This paper cites Single-Trajectory Distributionally Robust Reinforcement Learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Single-Trajectory Distributionally Robust Reinforcement Learning

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Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.493828Z

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Observation 64d8134c-cc7e-45f0-9658-1ea0d8ee2f54 · outbound

This paper cites Sample Complexity of Variance-reduced Distributionally Robust Q-learning.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Sample Complexity of Variance-reduced Distributionally Robust Q-learning

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Resolution: verified exact; local_arxiv, observed 2026-08-15T20:45:55.821668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb58ba8b-5994-49a0-b605-3b8d7e2c0dc6 · outbound

This paper cites Bring your own (non-robust) algorithm to solve robust mdps by estimating the worst kernel.arXiv e-prints, pages arXiv–2306, 2023.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Bring your own (non-robust) algorithm to solve robust mdps by estimating the worst kernel.arXiv e-prints, pages arXiv–2306, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:56.831060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b1595b8c-b9ef-4564-acbc-dafc5387a8dc · outbound

This paper cites Twice regularized MDPs and the equivalence between robustness and regularization.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Twice regularized MDPs and the equivalence between robustness and regularization

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:56.812885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10f49b19-4ad2-4f2e-b373-bfebbe1e3168 · outbound

This paper cites Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity

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Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.514519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf25c8fe-24d5-4a71-b7e8-fee6f65a26e0 · outbound

This paper cites Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes

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Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.519507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44a08380-d943-469e-81c6-e6543d0afad0 · outbound

This paper cites A unified principle of pessimism for offline reinforcement learning under model mismatch.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis A unified principle of pessimism for offline reinforcement learning under model mismatch

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:56.793150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c237809b-e432-4ccc-8c39-684560ff0331 · outbound

This paper cites Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.531036Z

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Observation 8004d090-d143-47e0-b57e-770675366687 · outbound

This paper cites Provably near-optimal distributionally robust reinforcement learning in online settings.arXiv preprint arXiv:2508.03768, 2025.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Provably near-optimal distributionally robust reinforcement learning in online settings.arXiv preprint arXiv:2508.03768, 2025

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Resolution: verified exact; raw_fallback, observed 2026-08-15T20:45:55.736471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1ab2fa1c-d692-4b1d-8c1a-b1ed925655ca · outbound

This paper cites Sample complexity of distributionally robust off-dynamics reinforcement learning with online interaction.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Sample complexity of distributionally robust off-dynamics reinforcement learning with online interaction

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Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.542380Z

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Observation 3913a34b-a13e-439b-af82-cd7f19adc41b · outbound

This paper cites John Wiley & Sons, 2014.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis John Wiley & Sons, 2014

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Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.548339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 934d4e26-d97e-477c-85f3-127962baae9c · outbound

This paper cites Average-reward model-free reinforcement learning: a systematic review and literature mapping.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Average-reward model-free reinforcement learning: a systematic review and literature mapping

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Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.553994Z

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Observation 929fa1d8-5f50-4949-b9d1-fdd170f0395c · outbound

This paper cites Towards tight bounds on the sample complexity of average-reward mdps.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Towards tight bounds on the sample complexity of average-reward mdps

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:56.746953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 98370f72-38ee-441f-8184-fbd7b96c6cf2 · outbound

This paper cites Stochastic first-order methods for average-reward markov decision processes.Mathematics of Operations Research, 2024.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis Stochastic first-order methods for average-reward markov decision processes.Mathematics of Operations Research, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:56.726923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 518ee3bf-f958-46b1-bcba-8b3836481063 · outbound

This paper cites On the generation of Markov decision processes.Journal of the Operational Research Society, 46(3):354–361, 1995.

Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis On the generation of Markov decision processes.Journal of the Operational Research Society, 46(3):354–361, 1995

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:56.706015Z

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