Tianfu Sun

Multi-Agent Reinforcement Learning with Transformer-based Spatio-temporal Fusion for Autonomous Driving in Mixed Traffic

Driving decision-making in mixed traffic, characterized by high-dynamic interactions and stochastic behaviors of human-driven vehicles, poses significant challenges for autonomous driving systems. To address these issues, we propose a novel Transformer-based Spatial Temporal Fusion (TSTF) module int