We discuss the paper Outracing champion Gran Turismo drivers with deep reinforcement learning.
The authors of this paper are Peter R. Wurman (Sony AI, New York), Samuel Barrett (Sony AI, New York), Kenta Kawamoto (Sony AI, Tokyo), James MacGlashan (Sony AI, New York), Kaushik Subramanian (Sony AI, Zürich), Thomas J. Walsh (Sony AI, New York), Roberto Capobianco (Sony AI, Zürich), Alisa Devlic (Sony AI, Zürich), Franziska Eckert (Sony AI, Zürich), Florian Fuchs (Sony AI, Zürich), Leilani Gilpin (Sony AI, New York), Piyush Khandelwal (Sony AI, New York), Varun Kompella (Sony AI, New York), HaoChih Lin (Sony AI, Zürich), Patrick MacAlpine (Sony AI, New York), Declan Oller (Sony AI, New York), Takuma Seno (Sony AI, Tokyo), Craig Sherstan (Sony AI, New York), Michael D. Thomure (Sony AI, New York), Houmehr Aghabozorgi (Sony AI, New York), Leon Barrett (Sony AI, New York), Rory Douglas (Sony AI, New York), Dion Whitehead (Sony AI, New York), Peter Dürr (Sony AI, Zürich), Peter Stone (Sony AI, New York), Michael Spranger (Sony AI, Tokyo) & Hiroaki Kitano (Sony AI, Tokyo).
The paper was published in 2022 in Nature. You can find the paper here.