Data on Robotics and Automation Reported by Researchers at University of Waterloo (Learning Selective Communication for Multiagent Path Finding)

摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - A new study on Robotics - Robotics and Automation is now available. According to news reporting originating from Waterloo, Canada, by NewsRx correspondents, research stated, “Learning communication via deep reinforcement learning (RL) or imitation learning (IL) has recently been shown to be an effective way to solve Multi-Agent Path Finding (MAPF). However, existing communication based MAPF solvers focus on broadcast communication, where an agent broadcasts its message to all other or predefined agents.”