Author

Mu-Shuang Liu

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Preprint Sep 2026

Hardware-in-the-Loop Evaluation of Game-Theoretic Autonomous Driving

This paper evaluates Nash- and Stackelberg-based decision-making controllers for autonomous intersection crossing using a three-stage evaluation pipeline culminating in physical Quanser QCar 2 experiments with hardware-in-the-loop (HIL) execution. The controllers are implemented in MATLAB/Simulink, deployed through Qua...

Aakanksha Kataria, Hui-Wen Yan, Mu-Shuang Liu · 0 citations

#artificial intelligence Preprint Sep 2026

Meta-Multi-Agent Reinforcement Learning for Fast Adaptation of Interactive Policies with Applications to Autonomous Driving

This paper develops a meta-multi-agent reinforcement learning (meta-MARL) framework to enable fast adaptation of interactive policies in a multi-agent system (MAS). Meta-reinforcement learning (meta-RL) enables agents to rapidly adapt to new tasks/environments using a bi-level optimization mechanism. However, existing...

Hui-Wen Yan, K. Vamvoudakis, Mu-Shuang Liu · 0 citations