Guizhe Jin

Hybrid Action-Based Reinforcement Learning for Multiobjective Compatible Autonomous Driving

2026 · IEEE Transactions on Neural Networks and Learning Systems

Reinforcement learning (RL) has shown excellent performance in solving decision-making and control problems of autonomous driving (AD), which is increasingly applied in diverse driving scenarios. However, driving is a multiattribute problem, leading to challenges in …