:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Agafonov, Artem, Yakovlev, Konstantin
Format:	Preprint
Published:	2025
Subjects:	Multiagent Systems Artificial Intelligence Computational Complexity
Online Access:	https://arxiv.org/abs/2505.10387
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improved Anonymous Multi-Agent Path Finding Algorithm
by: Ali, Zain Alabedeen, et al.
Published: (2023)

MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
by: Andreychuk, Anton, et al.
Published: (2024)

Core Safety Values for Provably Corrigible Agents
by: Nayebi, Aran
Published: (2025)

Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning
by: Andreychuk, Anton, et al.
Published: (2025)

Scalable Mechanism Design for Multi-Agent Path Finding
by: Friedrich, Paul, et al.
Published: (2024)

Multi-Objective Multi-Agent Path Finding with Lexicographic Cost Preferences
by: Rustagi, Pulkit, et al.
Published: (2025)

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding
by: Vyaltsev, Valeriy, et al.
Published: (2026)

Caching-Augmented Lifelong Multi-Agent Path Finding
by: Tang, Yimin, et al.
Published: (2024)

Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search
by: Phan, Thomy, et al.
Published: (2023)

Solving Multi-Agent Multi-Goal Path Finding Problems in Polynomial Time
by: Edelkamp, Stefan
Published: (2025)

MAPF-World: Action World Model for Multi-Agent Path Finding
by: Yang, Zhanjiang, et al.
Published: (2025)

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding
by: Skrynnik, Alexey, et al.
Published: (2024)

Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
by: Zhang, Yulun, et al.
Published: (2024)

Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding
by: Chen, Zhe, et al.
Published: (2023)

When Agents Break Down in Multiagent Path Finding
by: Fioravantes, Foivos, et al.
Published: (2025)

Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective
by: Liu, Qi, et al.
Published: (2024)

Budget Allocation Policies for Real-Time Multi-Agent Path Finding
by: Beck, Raz, et al.
Published: (2025)

Transient Multi-Agent Path Finding for Lifelong Navigation in Dense Environments
by: Morag, Jonathan, et al.
Published: (2024)

Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous Actions
by: Zhou, Shuai, et al.
Published: (2024)

Optimal and Bounded Suboptimal Any-Angle Multi-agent Pathfinding
by: Yakovlev, Konstantin, et al.
Published: (2024)

Scaling Lifelong Multi-Agent Path Finding to More Realistic Settings: Research Challenges and Opportunities
by: Jiang, He, et al.
Published: (2024)

Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower Bounds
by: Tang, Yimin, et al.
Published: (2025)

MGCBS: An Optimal and Efficient Algorithm for Solving Multi-Goal Multi-Agent Path Finding Problem
by: Tang, Mingkai, et al.
Published: (2024)

Multi-Agent Path Finding via Offline RL and LLM Collaboration
by: Atasever, Merve, et al.
Published: (2025)

PC2P: Multi-Agent Path Finding via Personalized-Enhanced Communication and Crowd Perception
by: Li, Guotao, et al.
Published: (2026)

Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences
by: Heller, Selina, et al.
Published: (2025)

Multi-Agent Path Finding with Real Robot Dynamics and Interdependent Tasks for Automated Warehouses
by: Lehoux-Lebacque, Vassilissa, et al.
Published: (2024)

Towards Information-Optimized Multi-Agent Path Finding: A Hybrid Framework with Reduced Inter-Agent Information Sharing
by: Muppasani, Bharath, et al.
Published: (2025)

Optimized Directed Roadmap Graph for Multi-Agent Path Finding Using Stochastic Gradient Descent
by: Henkel, Christian, et al.
Published: (2020)

Optimization of Edge Directions and Weights for Mixed Guidance Graphs in Lifelong Multi-Agent Path Finding
by: Zhang, Yulun, et al.
Published: (2026)

Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet
by: Chen, Weizhe, et al.
Published: (2024)

QD-MAPPER: A Quality Diversity Framework to Automatically Evaluate Multi-Agent Path Finding Algorithms in Diverse Maps
by: Qian, Cheng, et al.
Published: (2024)

Game-Theoretic and Algorithmic Analyses of Multi-Agent Routing under Crossing Costs
by: Hanaka, Tesshu, et al.
Published: (2026)

Discrete Diffusion for Complex and Congested Multi-Agent Path Finding with Sparse Social Attention
by: Wang, Yuanzhe, et al.
Published: (2026)

Decentralized Unlabeled Multi-Agent Navigation in Continuous Space
by: Dergachev, Stepan, et al.
Published: (2024)

Symbolic Planning and Multi-Agent Path Finding in Extremely Dense Environments with Unassigned Agents
by: Fu, Bo, et al.
Published: (2025)

CAMAR: Continuous Actions Multi-Agent Routing
by: Pshenitsyn, Artem, et al.
Published: (2025)

On Some Fundamental Problems for Multi-Agent Systems Over Multilayer Networks
by: Rosenkrantz, Daniel J., et al.
Published: (2025)

Multi-agent Path Finding in Continuous Environment
by: Janovská, Kristýna, et al.
Published: (2024)

Very Large-Scale Multi-Agent Simulation in AgentScope
by: Pan, Xuchen, et al.
Published: (2024)