Deep Learning Model Outperforms NPC, Player Records in Gran Turismo

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Deep learning models have been trained to perform specific tasks—and one has been developed to achieve superhuman performance in the popular driving video game Gran Turismo Sport.
Similar to models that have learned to play chess, shogi, or go, this deep learning model was used to assess the capabilities of a deep reinforcement learning-based approach. Researchers from the University of Zurich, together with SONY AI Zurich, have developed the model that learned to play Gran Turismo Sport – the 2017 racing video game developed by Polyphony Digital and Published by the Sony Interactive Entertainment company for the PlayStation 4 platform.
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Their findings are pre-published on the open-access research repository arXiv, featuring the potential of deep learning techniques in driving inside simulated environments.

(Photo: Photo by Handout/Getty Images)TOKYO, JAPAN – OCTOBER 25: (EDITOR’S NOTE: This image was computer generate in-game) The Jaguar Vision is seen in-game as part of the Jaguar Vision Gran Turismo Announcement prior to Round 5 of the Gran Turismo World Tour 2019 held at Future Expo Mega Web on October 25, 2019, in Tokyo, Japan.

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