2 papers
cs.LG2020
Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning
Samaneh Hosseini Semnani, Hugh Liu, Michael Everett +2
This paper 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…
cs.AI2019
Force-based Algorithm for Motion Planning of Large Agent Teams
Samaneh Hosseini Semnani, Anton de Ruiter, Hugh Liu
This paper presents a distributed, efficient, scalable and real-time motion planning algorithm for a large group of agents moving in 2 or 3-dimensional spaces. This algorithm enabl…