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
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija Lenart Treven Florian Dorfler Stelian Coros Andreas Krause OffRL 119 0 0 03 Jun 2024
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum Jigang Kim Daesol Cho H. J. Kim 72 3 0 17 May 2023
When Learning Is Out of Reach, Reset: Generalization in Autonomous Visuomotor Reinforcement Learning Zichen Zhang Luca Weihs OffRL 73 5 0 30 Mar 2023
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning Archit Sharma Ahmed M. Ahmed Rehaan Ahmad Chelsea Finn SSL 133 18 0 02 Mar 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction Hoai-An Nguyen Ching-An Cheng OffRL 93 3 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 83 3 0 19 Sep 2022
Curious Explorer: a provable exploration strategy in Policy Learning M. Miani Maurizio Parton M. Romito 126 0 0 29 Jun 2021