The annual IEEE Conference on Games (IEEE CoG) aims to be a leading venue for researchers and practitioners to exchange ideas and novel approaches to bring innovation in and through games. Games are a great domain to study and develop novel ideas in design, artificial intelligence, human-computer interaction, psychology, education, sociology, and creativity, as well as their applications in real-world problems.
A Benchmark Environment for Offline Reinforcement Learning in Racing Games / Macaluso, Girolamo; Sestini, Alessandro; Bagdanov, Andrew D.. - ELETTRONICO. - (2024), pp. 1-4. (Intervento presentato al convegno IEEE Conference on Games 2024) [10.1109/CoG60054.2024.10645657].
A Benchmark Environment for Offline Reinforcement Learning in Racing Games
Macaluso, Girolamo
;Sestini, Alessandro;Bagdanov, Andrew D.
2024
Abstract
The annual IEEE Conference on Games (IEEE CoG) aims to be a leading venue for researchers and practitioners to exchange ideas and novel approaches to bring innovation in and through games. Games are a great domain to study and develop novel ideas in design, artificial intelligence, human-computer interaction, psychology, education, sociology, and creativity, as well as their applications in real-world problems.
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