"The MineRL 2020 Competition on Sample Efficient Reinforcement Learning ..."

William H. Guss et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-01-31

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2101-11071
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2101-11071
William H. Guss, Mario Ynocente Castro, Sam Devlin, Brandon Houghton, Noboru Sean Kuno, Crissman Loomis, Stephanie Milani, Sharada P. Mohanty, Keisuke Nakata, Ruslan Salakhutdinov, John Schulman, Shinya Shiroshita, Nicholay Topin, Avinash Ummadisingu, Oriol Vinyals:
The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors. CoRR abs/2101.11071 (2021)

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