Race Strategy

Race strategy, encompassing optimal decision-making in competitive scenarios, aims to maximize performance by balancing competing objectives such as speed, fuel efficiency, and safety. Current research focuses on developing sophisticated simulation models, often employing reinforcement learning and model predictive control algorithms, to optimize strategies like pit stop timing and overtaking maneuvers in various racing contexts, from autonomous vehicles to motorsport. These advancements offer significant potential for improving performance in both simulated and real-world racing environments, and contribute to broader fields like optimization and control theory.