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Jun, 2019
多智能体深度强化学习中的非稳态问题处理
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning
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Georgios Papoudakis, Filippos Christianos, Arrasy Rahman, Stefano V. Albrecht
TL;DR
本文综述了多智能体深度强化学习中的非稳态问题,包括集中式训练、对手策略表示学习、元学习、通信和去中心化学习等方法,并列举了未来研究的可能方向。
Abstract
Recent developments in
deep reinforcement learning
are concerned with creating decision-making agents which can perform well in various complex domains. A particular approach which has received increasing attention is
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