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"Policy Information Capacity: Information-Theoretic Measure for Task ..."

Hiroki Furuta et al. (2021)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2021-08-25

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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/icml/FurutaMKMLNG21
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  persistent URL:
  - https://dblp.org/rec/conf/icml/FurutaMKMLNG21
Hiroki Furuta, Tatsuya Matsushima, Tadashi Kozuno, Yutaka Matsuo, Sergey Levine, Ofir Nachum, Shixiang Shane Gu:
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning. ICML 2021: 3541-3552

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