Outracing champion Gran Turismo drivers with deep reinforcement learning

Autor:	Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano
Rok vydání:	2021
Předmět:	Automobile Driving Competitive Behavior Multidisciplinary Deep Learning Reward Video Games Autonomous racing Reinforcement Learning Humans Reinforcement Psychology Sports
Zdroj:	Nature. 602(7896)
ISSN:	1476-4687
Popis:	Many potential applications of artificial intelligence involve making real-time decisions in physical systems while interacting with humans. Automobile racing represents an extreme example of these conditions; drivers must execute complex tactical manoeuvres to pass or block opponents while operating their vehicles at their traction limits
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c424f55a6bc1400dc9a77f034e414c5f https://pubmed.ncbi.nlm.nih.gov/35140381 Zobrazit plný text záznamu Full text from SpringerLink