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eess.SY2026
Hardware-in-the-Loop Evaluation of Game-Theoretic Autonomous Driving
Aakanksha Kataria, Huiwen Yan, Mushuang Liu
This paper evaluates Nash- and Stackelberg-based decision-making controllers for autonomous intersection crossing using a three-stage evaluation pipeline culminating in physical Qu…
eess.SY2026
Markov Potential Game and Multi-Agent Reinforcement Learning for Autonomous Driving
Huiwen Yan, Mushuang Liu
Autonomous driving (AD) requires safe and reliable decision-making among interacting agents, e.g., vehicles, bicycles, and pedestrians. Multi-agent reinforcement learning (MARL) mo…
eess.SY2025
Markov Potential Game Construction and Multi-Agent Reinforcement Learning with Applications to Autonomous Driving
Huiwen Yan, Mushuang Liu
Markov games (MGs) provide a mathematical foundation for multi-agent reinforcement learning (MARL), enabling self-interested agents to learn their optimal policies while interactin…