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cs.RO2024
Deep Reinforcement Learning-based Large-scale Robot Exploration
Yuhong Cao, Rui Zhao, Yizhuo Wang +2
In this work, we propose a deep reinforcement learning (DRL) based reactive planner to solve large-scale Lidar-based autonomous robot exploration problems in 2D action space. Our D…
cs.RO2023
SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding
Yutong Wang, Bairan Xiang, Shinan Huang +1
Trading off performance guarantees in favor of scalability, the Multi-Agent Path Finding (MAPF) community has recently started to embrace Multi-Agent Reinforcement Learning (MARL),…