Efficient Reinforcement Learning in Probabilistic Reward Machines

19 August 2024

Papers citing "Efficient Reinforcement Learning in Probabilistic Reward Machines"

10 / 10 papers shown

Title
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation Weitong Zhang Dongruo Zhou Quanquan Gu OffRL 51 28 0 12 Oct 2021
Inferring Probabilistic Reward Machines from Non-Markovian Reward Processes for Reinforcement Learning Taylor Dohmen Noah Topper George Atia Andre Beckus Ashutosh Trivedi Alvaro Velasquez 42 13 0 09 Jul 2021
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning Rodrigo Toro Icarte Toryn Q. Klassen Richard Valenzano Sheila A. McIlraith OffRL 96 219 0 06 Oct 2020
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play Qinghua Liu Tiancheng Yu Yu Bai Chi Jin 70 122 0 04 Oct 2020
Is Reinforcement Learning More Difficult Than Bandits? A Near-optimal Algorithm Escaping the Curse of Horizon Zihan Zhang Xiangyang Ji S. Du OffRL 89 105 0 28 Sep 2020
Fast active learning for pure exploration in reinforcement learning Pierre Ménard O. D. Domingues Anders Jonsson E. Kaufmann Edouard Leurent Michal Valko 40 95 0 27 Jul 2020
Reward Machines for Cooperative Multi-Agent Reinforcement Learning Cyrus Neary Zhe Xu Bo Wu Ufuk Topcu 46 45 0 03 Jul 2020
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds Andrea Zanette Emma Brunskill OffRL 95 276 0 01 Jan 2019
Correct-by-synthesis reinforcement learning with temporal logic constraints Min Wen Rüdiger Ehlers Ufuk Topcu 53 61 0 05 Mar 2015
Empirical Bernstein Bounds and Sample Variance Penalization Andreas Maurer Massimiliano Pontil 294 542 0 21 Jul 2009