ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.15546
  4. Cited By
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
Huijie Tang
Federico Berto
Zihan Ma
Chuanbo Hua
Kyuree Ahn
Jinkyoo Park
ArXivPDFHTML

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

2 / 2 papers shown
Title
USPR: Learning a Unified Solver for Profiled Routing
USPR: Learning a Unified Solver for Profiled Routing
Chuanbo Hua
Federico Berto
Zhikai Zhao
Jiwoo Son
Changhyun Kwon
Jinkyoo Park
39
0
0
08 May 2025
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent
  Learning -- Lifelong
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong
Mehul Damani
Zhiyao Luo
Emerson Wenzel
Guillaume Sartoretti
AI4CE
89
120
0
16 Oct 2020
1