用非马科夫分散多样化政策来扩大解决方案空间

概括

本研究引入了一种新的分散方法,以扩大非马尔科夫决策过程 (非MDP) 的强化学习 (RL) 中的解决方案空间. 这种方法产生了更多的多样化和强大的政策,在非MDP和MDP环境中表现优于现有的方法.

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