Media Summary: Decentralized Multi-agent Path Planning for Time-varying Disjoint Networks Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning In cooperative pathfinding problems, no-conflicts
Decentralized Multi Agent Path Planning - Detailed Analysis & Overview
Decentralized Multi-agent Path Planning for Time-varying Disjoint Networks Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning In cooperative pathfinding problems, no-conflicts 00:00 Introduction & what is SLAM? 00:57 Focus on minimizing data exchange. 02:49 System overview 04:02 Making ... Paper published at 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Abstract: Effective ... Short presentation of the paper: Shaull Almagor and Morteza Lahijanian, "Explainable
Paper: Abstract: We propose a combined model that automatically synthesizes local ... This paper presents Robust MADER (RMADER), a
![[IROS 2020] Graph Neural Networks for Decentralized Multi-Robot Path Planning](https://i.ytimg.com/vi/Ph9vjMNe6go/mqdefault.jpg)
