Title
Macro-Action-Based Deep Multi-Agent Reinforcement Learning Yuchen Xiao Joshua Hoffman Chris Amato AI4CE 26 29 0 18 Apr 2020
Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning Yongyuan Liang Bangwei Li 22 10 0 29 Mar 2020
Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach Zeyue Xue Shuang Luo Chao-Xiang Wu Pan Zhou Kaigui Bian Wei Du 24 4 0 06 Feb 2020
Option-Critic in Cooperative Multi-agent Systems Jhelum Chakravorty Nadeem Ward Julien Roy Maxime Chevalier-Boisvert Sumana Basu Andrei Lupu Doina Precup 25 30 0 28 Nov 2019
Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination Dongge Han Wendelin Bohmer Michael Wooldridge A. Rogers 24 17 0 21 Oct 2019
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning Weixun Wang Tianpei Yang Y. Liu Jianye Hao Xiaotian Hao Yujing Hu Yingfeng Chen Changjie Fan Yang Gao AI4CE 26 110 0 06 Sep 2019
Learning Transferable Cooperative Behavior in Multi-Agent Teams Akshat Agarwal Sumit Kumar Katia Sycara AI4CE 34 117 0 04 Jun 2019
Policy Distillation and Value Matching in Multiagent Reinforcement Learning Samir Wadhwania Dong-Ki Kim Shayegan Omidshafiei Jonathan P. How 14 25 0 15 Mar 2019
The Termination Critic Anna Harutyunyan Will Dabney Diana Borsa N. Heess Rémi Munos Doina Precup OffRL 28 48 0 26 Feb 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 52 558 0 12 Oct 2018
Learning to Teach in Cooperative Multiagent Reinforcement Learning Shayegan Omidshafiei Dong-Ki Kim Miao Liu Gerald Tesauro Matthew D Riemer Chris Amato Murray Campbell Jonathan P. How 29 135 0 20 May 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 113 1,662 0 30 Mar 2018
Learnings Options End-to-End for Continuous Action Tasks Martin Klissarov Pierre-Luc Bacon J. Harb Doina Precup 23 55 0 30 Nov 2017
When Waiting is not an Option : Learning Options with a Deliberation Cost J. Harb Pierre-Luc Bacon Martin Klissarov Doina Precup 29 148 0 14 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 183 18,685 0 20 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 101 4,441 0 07 Jun 2017
The Option-Critic Architecture Pierre-Luc Bacon J. Harb Doina Precup OffRL 37 1,076 0 16 Sep 2016
Deep Successor Reinforcement Learning Tejas D. Kulkarni A. Saeedi Simanta Gautam S. Gershman 41 208 0 08 Jun 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 51 1,009 0 02 Mar 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 117 13,174 0 09 Sep 2015