2025
Stability-Aware Reinforcement Learning for Autonomous Driving With Dynamics-Augmented State and Lyapunov Constraints
RA-L 2025
Autonomous driving in extreme conditions presents substantial challenges in ensuring vehicle stability and safety. Traditional reinforcement learning (RL) methods for decision-making often lack vehicle dynamics modeling and formal stability constraints, leading to dynamically infeasible behaviors an