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Centralised training with decentralised execution is an important setting for cooperative deep multi-agent reinforcement learning due to communication constraints during execution and computational tractability in training.
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Ian Osband, Benjamin Van Roy, Daniel Russo, and Zheng Wen · 2017
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Durk P Kingma, Tim Salimans, Rafal Jozefowicz, Xi Chen, Ilya Sutskever, and Max Welling · 2016
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QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
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Cesma: Centralized expert supervises multi-agents
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The StarCraft Multi-Agent Challenge
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