A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning

11 May 2022

Papers citing "A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning"

7 / 7 papers shown

Title
Preference-Guided Reinforcement Learning for Efficient Exploration Guojian Wang Faguo Wu Xiao Zhang Tianyuan Chen Xuyang Chen Lin Zhao 38 0 0 09 Jul 2024
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 30 0 0 03 Jun 2024
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum Jigang Kim Daesol Cho H. J. Kim 22 3 0 17 May 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning Archit Sharma Ahmed M. Ahmed Rehaan Ahmad Chelsea Finn SSL 48 17 0 02 Mar 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction Hoai-An Nguyen Ching-An Cheng OffRL 18 2 0 06 Jan 2023
Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning Xianfu Chen Zhifeng Zhao S. Mao Celimuge Wu Honggang Zhang M. Bennis OffRL 18 3 0 19 Sep 2022
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention Abhishek Gupta Justin Yu Tony Zhao Vikash Kumar Aaron Rovinsky Kelvin Xu Thomas Devlin Sergey Levine OffRL 69 94 0 22 Apr 2021