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Communication could potentially be an effective way for multi-agent cooperation.
Constraints and preadaptations in the earliest stages of language evolution
Dorothy Cheney and Robert Seyfarth · 2005
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Multi-agent systems in a distributed smart grid: Design and implementation
Manisa Pipattanasomporn, Hassan Feroze, and Saifur Rahman · 2009
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Coordinated multi-robot exploration under communication constraints using decentralized markov decision processes
Laëtitia Matignon, Laurent Jeanpierre, Abdel-Illah Mouaddib, et al · 2012
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An overview of recent progress in the study of distributed multi-agent coordination
Yongcan Cao, Wenwu Yu, Wei Ren, and Guanrong Chen · 2013
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Recurrent models of visual attention
Volodymyr Mnih, Nicolas Heess, Alex Graves, and Koray Kavukcuoglu · 2014
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Deterministic policy gradient algorithms
David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, and Martin Riedmiller · 2014
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Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015
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Learning to communicate with deep multi-agent reinforcement learning
Jakob Foerster, Ioannis Alexandros Assael, Nando de Freitas, and Shimon Whiteson · 2016
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End-to-end training of deep visuomotor policies
Sergey Levine, Chelsea Finn, Trevor Darrell, and Pieter Abbeel · 2016
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Continuous control with deep reinforcement learning
Timothy P Lillicrap, Jonathan J Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, and Daan Wierstra · 2016
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Learning multiagent communication with backpropagation
Sainbayar Sukhbaatar, Arthur Szlam, and Rob Fergus · 2016
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Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates
Shixiang Gu, Ethan Holly, Timothy Lillicrap, and Sergey Levine · 2017
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Emergence of language with multi-agent games: learning to communicate with sequences of symbols
Serhii Havrylov and Ivan Titov · 2017
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Revisiting the master-slave architecture in multi-agent deep reinforcement learning
Coordinated multi-agent imitation learning
Hoang M Le, Yisong Yue, Peter Carr, and Patrick Lucey · 2017
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Multi-agent actor-critic for mixed cooperative-competitive environments
Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, and Igor Mordatch · 2017
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Multiagent bidirectionally-coordinated nets for learning to play starcraft combat games
Peng Peng, Quan Yuan, Ying Wen, Yaodong Yang, Zhenkun Tang, Haitao Long, and Jun Wang · 2017
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Mastering the game of go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, et al · 2017
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Deep communicating agents for abstractive summarization
Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, and Yejin Choi · 2018
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Xiangyu Kong, Bo Xin, Fangchen Liu, and Yizhou Wang · 2017
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Playing fps games with deep reinforcement learning
Guillaume Lample and Devendra Singh Chaplot · 2017
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A unified game-theoretic approach to multiagent reinforcement learning
Marc Lanctot, Vinicius Zambaldi, Audrunas Gruslys, Angeliki Lazaridou, Julien Perolat, David Silver, and Thore Graepel · 2017
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Counterfactual multi-agent policy gradients
Jakob Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, and Shimon Whiteson · 2018
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Emergence of grounded compositional language in multi-agent populations
Igor Mordatch and Pieter Abbeel · 2018
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Mean field multi-agent reinforcement learning
Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, and Jun Wang · 2018
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