A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation

Gang Chen 0002. A New Framework for Multi-Agent Reinforcement Learning - Centralized Training and Exploration with Decentralized Execution via Policy Distillation. In Amal El Fallah-Seghrouchni, Gita Sukthankar, Bo An 0001, Neil Yorke-Smith, editors, Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020. pages 1801-1803, International Foundation for Autonomous Agents and Multiagent Systems, 2020. [doi]

Abstract

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