Outracing champion Gran Turismo drivers with deep reinforcement learning-Reference-Cited by-同舟云学术

Outracing champion Gran Turismo drivers with deep reinforcement learning

Published:2022-02-09 Issue:7896 Volume:602 Page:223-228
ISSN:0028-0836
Container-title:Nature
language:en
Short-container-title:Nature

Author:

Wurman Peter R.^ORCID,Barrett Samuel,Kawamoto Kenta,MacGlashan James,Subramanian Kaushik,Walsh Thomas J.,Capobianco Roberto^ORCID,Devlic Alisa,Eckert Franziska,Fuchs Florian^ORCID,Gilpin Leilani^ORCID,Khandelwal Piyush,Kompella Varun,Lin HaoChih,MacAlpine Patrick,Oller Declan,Seno Takuma,Sherstan Craig,Thomure Michael D.,Aghabozorgi Houmehr,Barrett Leon^ORCID,Douglas Rory,Whitehead Dion,Dürr Peter^ORCID,Stone Peter,Spranger Michael^ORCID,Kitano Hiroaki

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://www.nature.com/articles/s41586-021-04357-7.pdf

Reference50 articles.

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3. Silver, D. et al. Mastering the game of Go with deep neural networks and tree search. Nature 529, 484–489 (2016).

4. Silver, D. et al. Mastering the game of Go without human knowledge. Nature 550, 354–359 (2017).

5. Vinyals, O. et al. Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nature 575, 350–354 (2019).

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