Efficient Reinforcement Learning in Block MDPs: A Model-free
Representation Learning Approach

Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach

31 January 2022

Masatoshi Uehara

Mengdi Wang

Papers citing "Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach"

17 / 17 papers shown

Title
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning Alihan Hüyük A. R. Koblitz Atefeh Mohajeri M. Andrews OffRL 40 0 0 19 Sep 2024
Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning Noah Golowich Ankur Moitra Dhruv Rohatgi OffRL 35 4 0 04 Apr 2024
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP Jiacheng Guo Zihao Li Huazheng Wang Mengdi Wang Zhuoran Yang Xuezhou Zhang 32 5 0 21 Jun 2023
The RL Perceptron: Generalisation Dynamics of Policy Learning in High Dimensions Nishil Patel Sebastian Lee Stefano Sarao Mannelli Sebastian Goldt Adrew Saxe OffRL 28 3 0 17 Jun 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs Yuan Cheng Ruiquan Huang J. Yang Yitao Liang OffRL 41 8 0 20 Mar 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 22 0 0 15 Mar 2023
Fast exploration and learning of latent graphs with aliased observations Miguel Lazaro-Gredilla Ishani Deshpande Siva K. Swaminathan Meet Dave Dileep George 23 3 0 13 Mar 2023
Distributional Offline Policy Evaluation with Predictive Error Guarantees Runzhe Wu Masatoshi Uehara Wen Sun OffRL 38 13 0 19 Feb 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR Kaiwen Wang Nathan Kallus Wen Sun 107 18 0 07 Feb 2023
Provably Efficient Model-free RL in Leader-Follower MDP with Linear Function Approximation A. Ghosh 25 1 0 28 Nov 2022
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control Xiang Zheng Xingjun Ma Cong Wang 28 1 0 28 Nov 2022
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees Andrea Tirinzoni Matteo Papini Ahmed Touati A. Lazaric Matteo Pirotta 28 4 0 24 Oct 2022
Spectral Decomposition Representation for Reinforcement Learning Tongzheng Ren Tianjun Zhang Lisa Lee Joseph E. Gonzalez Dale Schuurmans Bo Dai OffRL 40 27 0 19 Aug 2022
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems Masatoshi Uehara Ayush Sekhari Jason D. Lee Nathan Kallus Wen Sun OffRL 49 31 0 24 Jun 2022
Provable Benefits of Representational Transfer in Reinforcement Learning Alekh Agarwal Yuda Song Wen Sun Kaiwen Wang Mengdi Wang Xuezhou Zhang OffRL 23 33 0 29 May 2022
Representation Learning for Online and Offline RL in Low-rank MDPs Masatoshi Uehara Xuezhou Zhang Wen Sun OffRL 62 126 0 09 Oct 2021
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 102 78 0 14 Feb 2021