Non-Linear Reinforcement Learning in Large Action Spaces: Structural
Conditions and Sample-efficiency of Posterior Sampling

Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling

15 March 2022

Tong Zhang

Papers citing "Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling"

8 / 8 papers shown

Title
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling Haque Ishfaq Yixin Tan Yu Yang Qingfeng Lan Jianfeng Lu A. Rupam Mahmood Doina Precup Pan Xu 37 4 0 18 Jun 2024
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond Thanh Nguyen-Tang Raman Arora OffRL 38 3 0 06 Jan 2024
Low-Rank MDPs with Continuous Action Spaces Andrew Bennett Nathan Kallus M. Oprescu 33 2 0 06 Nov 2023
Model-Free Reinforcement Learning with the Decision-Estimation Coefficient Dylan J. Foster Noah Golowich Jian Qian Alexander Rakhlin Ayush Sekhari OffRL 40 9 0 25 Nov 2022
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL Jinglin Chen Aditya Modi A. Krishnamurthy Nan Jiang Alekh Agarwal 38 25 0 21 Jun 2022
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity Alekh Agarwal Tong Zhang 50 22 0 15 Jun 2022
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
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 122 167 0 06 Jan 2021