在多代理强化学习中学习基于个人潜能的奖励

IF 1.7 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Chen Yang, Pei Xu, Junge Zhang
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本文章由计算机程序翻译,如有差异,请以英文原文为准。
Learning Individual Potential-Based Rewards in Multi-Agent Reinforcement Learning
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来源期刊
IEEE Transactions on Games
IEEE Transactions on Games Engineering-Electrical and Electronic Engineering
CiteScore
4.60
自引率
8.70%
发文量
87
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