A DRQN reinforcement learning agent selects F1 tire and pit strategies and achieves P5.33 average finishing position on a simulated 2023 Bahrain GP, beating a fixed-strategy baseline and a Mercedes SOTA model.
Carreira-Perpiñán and Suryabhan Singh Hada
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Explainable Reinforcement Learning for Formula One Race Strategy
A DRQN reinforcement learning agent selects F1 tire and pit strategies and achieves P5.33 average finishing position on a simulated 2023 Bahrain GP, beating a fixed-strategy baseline and a Mercedes SOTA model.