The 21st International Conference on Machine Learning (ICML) 2004 参加報告
By 鹿島 久嗣. 2005
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- Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns (2019, positive): “Earlier work focuses on constructing coordination graphs (CGs) to represent the interactive relationship between agents and conducting learning according to the specified relationship in each state [Guestrin et al., 2002a; Guestrin et al., 2002b; Kok and Vlassis, 2004].”