AINeutralarXiv – CS AI · Feb 274/105
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Learning-based Multi-agent Race Strategies in Formula 1
Researchers have developed a reinforcement learning approach for multi-agent Formula 1 race strategy optimization that enables AI agents to adapt pit timing, tire selection, and energy allocation in response to competitors. The framework uses only real-race available information and could support actual race strategists' decision-making during events.