Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous Driving

1 code implementation • 5 Jun 2023 • Lin-Chi Wu, Zengjie Zhang, Sofie Haesaert, Zhiqiang Ma, Zhiyong Sun

Reinforcement learning (RL) is an effective approach to motion planning in autonomous driving, where an optimal driving policy can be automatically learned using the interaction data with the environment.

Autonomous Driving Motion Planning +3