#strategy-optimization2 articles

2 articles

AINeutralarXiv – CS AI · 4h ago1

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Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning

Researchers developed COffeE-PSRO, a new algorithm that applies offline reinforcement learning to game-theoretic multiagent systems. The approach extends Policy Space Response Oracles by incorporating uncertainty quantification and conservative exploration to find equilibrium strategies from fixed datasets without online interaction.

AINeutralarXiv – CS AI · 4h ago0

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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.