MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning

25 May 2022

Papers citing "MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning"

8 / 8 papers shown

Title
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement Martin Tappler Ignacio D. Lopez-Miguel Sebastian Tschiatschek Ezio Bartocci 49 0 0 13 Mar 2025
Explaining Decisions of Agents in Mixed-Motive Games Maayan Orner Oleg Maksimov Akiva Kleinerman Charles Ortiz Sarit Kraus 86 0 0 28 Jan 2025
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents Nils Grandien Quentin Delfosse Kristian Kersting OffRL 24 2 0 18 Oct 2024
Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning Dapeng Li Hang Dong Lu Wang Bo Qiao Si Qin ... Dongmei Zhang Qi Zhang Zhiwei Xu Bin Zhang Guoliang Fan 40 2 0 27 Apr 2024
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning Xiao Liu Wubing Chen Mao Tan 8 1 0 12 Sep 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 25 14 0 17 May 2023
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Jie Song Huiqiong Wang Mingli Song XAI 17 1 0 12 Nov 2022
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 109 592 0 28 Feb 2017