Choose Your Game Wisely: Measuring Game-Theoretic Structures in Real-World Vehicle Interactions

arXiv:2608.25917 · cs.AI, cs.RO · Submitted 2026-08-26 · Read on arXiv

cs.AI, cs.RO

Submitted: 2026-08-26

Updated: 2026-08-26

Terminology

• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Bayesian Inference — 2× in this paper · explained in 5 episodes
• Computer Vision and Pattern Recognition — 2× in this paper
• Waymo Open Motion Dataset — 2× in this paper
• Abstraction — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Alternation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• IEEE Intelligent Vehicles Symposium — 1× in this paper
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
• NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
• Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks
• Scenario-based Decision-making Using Game Theory for Interactive Autonomous Driving: A Survey

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