Samaneh Hosseini Semnani

Multi-Agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning

This letter introduces a hybrid algorithm of deep reinforcement learning (RL) and Force-based motion planning (FMP) to solve distributed motion planning problem in dense and dynamic environments. Individually, RL and FMP algorithms each have their own limitations. FMP is not able to produce time-opt