Cooperative Motion Planning in Divided Environments via Congestion-Aware Deep Reinforcement Learning
In motion planning with partial observability, addressing uncertainty is crucial for preventing collisions and congestion, especially in the vicinity of constrained narrow areas connecting wider spaces, called hallways. In this work, we propose a cooperative motion planning algorithm that leverages