Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement
Learning?

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Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning?

12 October 2020

Qiwen Cui

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Papers citing "Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning?"

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Title
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient Ming Yin Mengdi Wang Yu Wang OffRL 141 12 0 03 Oct 2022
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model J. Li Zhaolin Ren Dong Yan Hang Su Jun Zhu 141 7 0 13 Mar 2022
On the Power of Multitask Representation Learning in Linear MDP Rui Lu Gao Huang S. Du 83 29 0 15 Jun 2021
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model Bingyan Wang Yuling Yan Jianqing Fan 104 20 0 28 May 2021
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings Ming Yin Yu Wang OffRL 106 19 0 13 May 2021
Nearly Horizon-Free Offline Reinforcement Learning Zhaolin Ren Jialian Li Bo Dai S. Du Sujay Sanghavi OffRL 92 49 0 25 Mar 2021
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL Andrea Zanette OffRL 206 71 0 14 Dec 2020
Minimax Sample Complexity for Turn-based Stochastic Game Qiwen Cui Lin F. Yang 85 23 0 29 Nov 2020