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Inter-agent communication can significantly increase performance in multi-agent tasks that require co-ordination to achieve a shared goal.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J. Williams · 1992
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Estimating or propagating gradients through stochastic neurons for conditional computation
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Asynchronous methods for deep reinforcement learning
Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy P. Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu · 2016
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Learning multiagent communication with backpropagation
Sainbayar Sukhbaatar, Arthur Szlam, and Rob Fergus · 2016
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Categorical reparameterization with gumbel-softmax
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Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, and Igor Mordatch · 2017
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The concrete distribution: A continuous relaxation of discrete random variables
Chris J. Maddison, Andriy Mnih, and Yee Whye Teh · 2017
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Learning individually inferred communication for multi-agent cooperation
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Evolutionary reinforcement learning for sample-efficient multiagent coordination
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Murtaza Rangwala and Ryan Williams · 2020
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Bowen Baker, Ingmar Kanitscheider, Todor Markov, Yi Wu, Glenn Powell, Bob McGrew, and Igor Mordatch · 2019
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Event-triggered multi-agent reinforcement learning with communication under limited-bandwidth constraint
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