PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning

no code implementations • 17 Oct 2022 • Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang

Furthermore, we introduce a novel paradigm named Personalized Training with Distilled Execution (PTDE), wherein agent-personalized global information is distilled into the agent's local information.

Learning-To-Rank reinforcement-learning +2