Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships
Xiaobai Ma Jiachen Li Mykel J. Kochenderfer David Isele Kikuo Fujimura Xiaobai Ma Jiachen Li Mykel J. Kochenderfer David Isele Kikuo Fujimura
Deep reinforcement learning (DRL) provides a promising way for learning navigation in complex autonomous driving scenarios. However, identifying the subtle cues that can indicate drastically different outcomes remains an open problem with designing autonomous systems that operate in human environments. In this work, we show that explicitly inferring the latent state and encoding spatial-temporal r...