BibTeX record journals/corr/abs-2205-15891

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@article{DBLP:journals/corr/abs-2205-15891,
  author       = {Pedro Cisneros{-}Velarde and
                  Boxiang Lyu and
                  Sanmi Koyejo and
                  Mladen Kolar},
  title        = {One Policy is Enough: Parallel Exploration with a Single Policy is
                  Minimax Optimal for Reward-Free Reinforcement Learning},
  journal      = {CoRR},
  volume       = {abs/2205.15891},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2205.15891},
  doi          = {10.48550/ARXIV.2205.15891},
  eprinttype    = {arXiv},
  eprint       = {2205.15891},
  timestamp    = {Wed, 01 Jun 2022 13:56:25 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2205-15891.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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