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AlphaGo原来是这样运行的，一文详解多智能体强化学习( 十 )


[10] Foerster J, Farquhar G, Afouras T, et al. Counterfactual Multi-Agent Policy Gradients[J]. arXiv: Artificial Intelligence, 2017.
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[14] Vinyals, O., Babuschkin, I., Czarnecki, W.M. et al. Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nature 575, 350–354 (2019).
[15] P. Long, T. Fan, X. Liao, W. Liu, H. Zhang and J. Pan, ''Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning,'' 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, QLD, 2018, pp. 6252-6259, doi: 10.1109/ICRA.2018.8461113.
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【AlphaGo原来是这样运行的，一文详解多智能体强化学习】[17] Hernandez-Leal P , Kartal B , Taylor M E . A survey and critique of multiagent deep reinforcement learning[J]. Autonomous Agents & Multi Agent Systems, 2019(2).


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