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Aug, 2022
基于动态内存的好奇心:探索的引导方法
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration
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Zijian Gao, Kele Xu, YiYing Li, Yuanzhao Zhai, Dawei Feng...
TL;DR
提出一种新的基于动态记忆和信息理论的强化学习探索算法DyMeCu,并在多个基准测试中展示其优越性,能够有效模拟人类好奇心和实现动态记忆。
Abstract
The sparsity of extrinsic rewards poses a serious challenge for
reinforcement learning
(RL). Currently, many efforts have been made on
curiosity
which can provide a representative
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