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QMIX is a popular $Q$-learning algorithm for cooperative MARL in the centralised training and decentralised execution paradigm.
Exploration with unreliable intrinsic reward in multi-agent reinforcement learning
Wendelin Bohmer, Tabish Rashid, and Shimon Whiteson · 1906
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Wendelin Bohmer, Vitaly Kurin, and Shimon Whiteson · 1910
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Q-learning
Christopher JCH Watkins and Peter Dayan · 1992
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Multi-agent reinforcement learning: Independent vs. cooperative agents
Ming Tan · 1993
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The dynamics of reinforcement learning in cooperative multiagent systems
Caroline Claus and Craig Boutilier · 1998
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Convergence of q-learning: A simple proof
Francisco S Melo · 2001
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Qatten: A general framework for cooperative multiagent reinforcement learning
Yaodong Yang, Jianye Hao, Ben Liao, Kun Shao, Guangyong Chen, Wulong Liu, and Hongyao Tang · 2002
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Tree-based batch mode reinforcement learning
Damien Ernst, Pierre Geurts, and Louis Wehenkel · 2005
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Biasing coevolutionary search for optimal multiagent behaviors
Liviu Panait, Sean Luke, and R Paul Wiegand · 2006
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Hysteretic q-learning: an algorithm for decentralized reinforcement learning in cooperative multi-agent teams
Laëtitia Matignon, Guillaume J Laurent, and Nadine Le Fort-Piat · 2007
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Optimal and approximate q-value functions for decentralized pomdps
Frans A Oliehoek, Matthijs TJ Spaan, and Nikos Vlassis · 2008
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Markov decision processes: discrete stochastic dynamic programming
Martin L Puterman · 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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Increasing the action gap: New operators for reinforcement learning
Marc G Bellemare, Georg Ostrovski, Arthur Guez, Philip S Thomas, and Rémi Munos · 2016
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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
Cited alongside, same era.
Multi-agent reinforcement learning as a rehearsal for decentralized planning
Landon Kraemer and Bikramjit Banerjee · 2016
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A concise introduction to decentralized POMDPs , volume 1
Frans A Oliehoek, Christopher Amato, et al · 2016
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Stabilising experience replay for deep multi-agent reinforcement learning
Jakob Foerster, Nantas Nardelli, Gregory Farquhar, Triantafyllos Afouras, Philip HS Torr, Pushmeet Kohli, and Shimon Whiteson · 2017
Cited alongside, same era.
HyperNetworks
David Ha, Andrew Dai, and Quoc V. Le · 2017
Value-decomposition networks for cooperative multi-agent learning based on team reward
Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinicius Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, and et al · 2018
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Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
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Multiagent soft q-learning
Ermo Wei, Drew Wicke, David Freelan, and Sean Luke · 2018
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LIIR: Learning individual intrinsic reward in multi-agent reinforcement learning
Yali Du, Lei Han, Meng Fang, Ji Liu, Tianhong Dai, and Dacheng Tao · 2019
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Actor-attention-critic for multi-agent reinforcement learning
Shariq Iqbal and Fei Sha · 2019
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Maven: Multi-agent variational exploration
Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan, and Shimon Whiteson · 2019
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Cited alongside, same era.
Categorical reparameterization with gumbel-softmax
Eric Jang, Shixiang Gu, and Ben Poole · 2017
Cited alongside, same era.
Multi-agent actor-critic for mixed cooperative-competitive environments
Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, OpenAI Pieter Abbeel, and Igor Mordatch · 2017
Cited alongside, same era.
Multiagent cooperation and competition with deep reinforcement learning
Ardi Tampuu, Tambet Matiisen, Dorian Kodelja, Ilya Kuzovkin, Kristjan Korjus, Juhan Aru, Jaan Aru, and Raul Vicente · 2017
Cited alongside, same era.
Counterfactual multi-agent policy gradients
Jakob Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, and Shimon Whiteson · 2018
Cited alongside, same era.
Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel, and Sergey Levine · 2018
Cited alongside, same era.
Qmix: Monotonic value function factorisation for deep multi-agent reinforcement learning
Tabish Rashid, Mikayel Samvelyan, Christian Schroeder Witt, Gregory Farquhar, Jakob Foerster, and Shimon Whiteson · 2018
Cited alongside, same era.
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A review of cooperative multi-agent deep reinforcement learning
Afshin OroojlooyJadid and Davood Hajinezhad · 2019
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The StarCraft Multi-Agent Challenge
Mikayel Samvelyan, Tabish Rashid, Christian Schroeder de Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philiph H. S. Torr, Jakob Foerster, and Shimon Whiteson · 2019
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Qtran: Learning to factorize with transformation for cooperative multi-agent reinforcement learning
Kyunghwan Son, Daewoo Kim, Wan Ju Kang, David Earl Hostallero, and Yung Yi · 2019
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SMIX($\lambda$): Enhancing centralized value functions for cooperative multi-agent reinforcement learning
Xinghu Yao, Chao Wen, Yuhui Wang, and Xiaoyang Tan · 2019
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Qopt: Optimistic value function decentralization for cooperative multi-agent reinforcement learning
Kyunghwan Son, Sungsoo Ahn, Roben Delos Reyes, Jinwoo Shin, and Yung Yi · 2020
Closest in time.
Qplex: Duplex dueling multi-agent q-learning
Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, and Chongjie Zhang · 2020
Closest in time.