Reward-Free Policy Space Compression for Reinforcement Learning

22 February 2022

Papers citing "Reward-Free Policy Space Compression for Reinforcement Learning"

3 / 3 papers shown

Title
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes M. Zhang Hongyao Tang Jianye Hao Yan Zheng OffRL 28 0 0 16 Sep 2022
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 61 31 0 06 Oct 2021
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 112 194 0 07 Feb 2020