Liewen Liao

ROAD: Responsibility-Oriented Reward Design for Reinforcement Learning in Autonomous Driving

Reinforcement learning (RL) in autonomous driving employs a trial-and-error mechanism, enhancing robustness in unpredictable environments. However, crafting effective reward functions remains challenging, as conventional approaches rely heavily on manual design and demonstrate limited efficacy in co