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"Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant ..."

Tadashi Kozuno, Dongqi Han, Kenji Doya (2019)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-01-23

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-1906-07586
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1906-07586
Tadashi Kozuno, Dongqi Han, Kenji Doya:
Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning. CoRR abs/1906.07586 (2019)

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