Multi-agent Reinforcement Learning: A Comprehensive Survey

15 December 2023

Papers citing "Multi-agent Reinforcement Learning: A Comprehensive Survey"

9 / 9 papers shown

Title
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination Xihuai Wang Shao Zhang Wenhao Zhang Wentao Dong Jingxiao Chen Ying Wen Weinan Zhang 20 8 0 08 Oct 2023
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 203 627 0 12 Oct 2021
Conservative Offline Distributional Reinforcement Learning Yecheng Jason Ma Dinesh Jayaraman Osbert Bastani OffRL 57 77 0 12 Jul 2021
Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint Léonard Blier Corentin Tallec Yann Ollivier 46 30 0 18 Jan 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun-Jie Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 125 192 0 19 Oct 2020
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 259 337 0 14 Sep 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,662 0 04 May 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 223 1,726 0 09 Jun 2018
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