Opponent State Inference Under Partial Observability: An HMM-POMDP Framework for 2026 Formula 1 Energy Strategy

Researchers have developed an AI framework combining Hidden Markov Models and Deep Q-Networks to optimize energy strategy decisions in Formula 1 racing under new 2026 regulations. The system infers competitor states from observable telemetry data and detects deceptive racing strategies with over 95% accuracy.