HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent
Pathfinding

HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding

23 February 2024

Jinkyoo Park

Papers citing "HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding"

5 / 5 papers shown

Title
USPR: Learning a Unified Solver for Profiled Routing Chuanbo Hua Federico Berto Zhikai Zhao Jiwoo Son Changhyun Kwon Jinkyoo Park 44 0 0 08 May 2025
Parallel AutoRegressive Models for Multi-Agent Combinatorial Optimization Federico Berto Chuanbo Hua Laurin Luttmann Jiwoo Son Junyoung Park Kyuree Ahn Changhyun Kwon Lin Xie Jinkyoo Park 41 1 0 05 Sep 2024
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding Huijie Tang Federico Berto Jinkyoo Park 43 4 0 12 Mar 2024
Large Language Models as Hyper-Heuristics for Combinatorial Optimization Haoran Ye Jiarui Wang Zhiguang Cao Federico Berto Chuanbo Hua Haeyeon Kim Jinkyoo Park Guojie Song 42 46 0 02 Feb 2024
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong Mehul Damani Zhiyao Luo Emerson Wenzel Guillaume Sartoretti AI4CE 102 120 0 16 Oct 2020