Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
DL輪読会 Policy Information Capacity: Information-Theoretic Measure for…
タスクの複雑性
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, Shixiang Shane Gu
University of Tokyo
University of Alberta
Google Research
Submitted on 23 Mar 2021
https://arxiv.org/abs/2103.12726v1