Reinforcement learning under uncertainty: expected versus unexpected uncertainty and state versus reward uncertainty
收藏osf.io2022-11-09 更新2025-03-26 收录
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资源简介:
Data and code to replicate the analyses reported in the paper:
Ez-zizi, A., Farrell, S., Leslie, D., Malhotra, G., and Ludwig, J.H.C. "Reinforcement learning under uncertainty: expected versus unexpected uncertainty and state versus reward uncertainty".
数据与代码,用于复制论文中报告的分析:Ez-zizi, A., Farrell, S., Leslie, D., Malhotra, G. 与 Ludwig, J.H.C. 撰写的《在不确定性下的强化学习:预期不确定性与非预期不确定性,以及状态不确定性与奖励不确定性》。
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