The Effects of Entropy Regularization and Lyapunov Stability Constraint on Multi-Agent Reinforcement Learning for Autonomous Driving

High level decision making in Autonomous Driving (AD) is a challenging task due to the presence of multiple actors and complex driving interactions. Multi-Agent Reinforcement Learning (MARL) has been proposed to learn multiple driving policies concurrently to solve AD tasks. In the literature, multi-agent algorithms have been shown to outperform...