Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs
with a Generative Model

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Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model

28 May 2021

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Papers citing "Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model"

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Title
Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping Yining Li Peizhong Ju Ness B. Shroff 54 0 0 22 Jun 2023
High-probability sample complexities for policy evaluation with linear function approximation Gen Li Weichen Wu Yuejie Chi Cong Ma Alessandro Rinaldo Yuting Wei OffRL 101 7 0 30 May 2023
Multi-agent Policy Reciprocity with Theoretical Guarantee Haozhi Wang Yinchuan Li Qing Wang Yunfeng Shao Jianye Hao 56 0 0 12 Apr 2023
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model Jiajun Shen K. Kuwaranancharoen R. Ayoub Pietro Mercati S. Sundaram OffRL 85 0 0 15 Mar 2023
Reinforcement Learning with Function Approximation: From Linear to Nonlinear Jihao Long Jiequn Han 70 6 0 20 Feb 2023
Near-optimal Policy Identification in Active Reinforcement Learning Xiang Li Viraj Mehta Johannes Kirschner I. Char Willie Neiswanger J. Schneider Andreas Krause Ilija Bogunovic OffRL 83 6 0 19 Dec 2022
Efficient Global Planning in Large MDPs via Stochastic Primal-Dual Optimization Gergely Neu Nneka Okolo 106 7 0 21 Oct 2022
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model Gen Li Yuejie Chi Yuting Wei Yuxin Chen 75 18 0 22 Aug 2022
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure Tyler Sam Yudong Chen Chao Yu OffRL 123 7 0 07 Jun 2022
The Efficacy of Pessimism in Asynchronous Q-Learning Yuling Yan Gen Li Yuxin Chen Jianqing Fan OffRL 144 41 0 14 Mar 2022
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning Gen Li Laixi Shi Yuxin Chen Yuejie Chi OffRL 94 54 0 09 Oct 2021
Improved Algorithms for Misspecified Linear Markov Decision Processes Daniel Vial Advait Parulekar Sanjay Shakkottai R. Srikant 61 6 0 12 Sep 2021
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting Gen Li Yuxin Chen Yuejie Chi Yuantao Gu Yuting Wei OffRL 86 30 0 17 May 2021
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model Gen Li Yuting Wei Yuejie Chi Yuxin Chen 158 131 0 26 May 2020