most citedCARE: Confidence-rich Autonomous Robot Exploration using Bayesian Kernel Inference and Optimization

9 citations · 17 across the 6 of their papers we have counts for

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cs.AI2024

Cooperative Reward Shaping for Multi-Agent Pathfinding

Zhenyu Song, Ronghao Zheng, Senlin Zhang +1

The primary objective of Multi-Agent Pathfinding (MAPF) is to plan efficient and conflict-free paths for all agents. Traditional multi-agent path planning algorithms struggle to ac…