Decision uniqueness and experience saturation define the appropriateness of state expansion: comparison between dynamic state space reinforcement learning model and Dirichlet models
Decision uniqueness and experience saturation define the appropriateness of state expansion: comparison between dynamic state space reinforcement learning model and Dirichlet models
复制标题
决策唯一性和经验饱和度定义状态扩展的适当性：动态状态空间强化学习模型与狄利克雷模型的比较
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Hajime Mushiake
中科院分区：
文献类型：
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作者：
Kazuhiro Sakamoto;Tokio Katakura;Hajime Mushiake
