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"One Policy is Enough: Parallel Exploration with a Single Policy is ..."

Pedro Cisneros-Velarde et al. (2023)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2023-06-19

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  - electronic edition @ mlr.press (open access)
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  dblp key:
  - conf/aistats/Cisneros-Velarde23
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  - https://dblp.org/rec/conf/aistats/Cisneros-Velarde23
Pedro Cisneros-Velarde, Boxiang Lyu, Sanmi Koyejo, Mladen Kolar:
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning. AISTATS 2023: 1965-2001

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