Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Andreychuk, Anton, Yakovlev, Konstantin, Panov, Aleksandr, Skrynnik, Alexey |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
by: Andreychuk, Anton, et al.
Published: (2024)
by: Andreychuk, Anton, et al.
Published: (2024)
POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding
by: Skrynnik, Alexey, et al.
Published: (2024)
by: Skrynnik, Alexey, et al.
Published: (2024)
Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding
by: Vyaltsev, Valeriy, et al.
Published: (2026)
by: Vyaltsev, Valeriy, et al.
Published: (2026)
CAMAR: Continuous Actions Multi-Agent Routing
by: Pshenitsyn, Artem, et al.
Published: (2025)
by: Pshenitsyn, Artem, et al.
Published: (2025)
Optimal and Bounded Suboptimal Any-Angle Multi-agent Pathfinding
by: Yakovlev, Konstantin, et al.
Published: (2024)
by: Yakovlev, Konstantin, et al.
Published: (2024)
CoRL-MPPI: Enhancing MPPI With Learnable Behaviours For Efficient And Provably-Safe Multi-Robot Collision Avoidance
by: Dergachev, Stepan, et al.
Published: (2025)
by: Dergachev, Stepan, et al.
Published: (2025)
Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding
by: Jain, Rishabh, et al.
Published: (2026)
by: Jain, Rishabh, et al.
Published: (2026)
Enhancing PIBT via Multi-Action Operations
by: Yukhnevich, Egor, et al.
Published: (2025)
by: Yukhnevich, Egor, et al.
Published: (2025)
Sequence Pathfinder for Multi-Agent Pickup and Delivery in the Warehouse
by: Zhao, Zeyuan, et al.
Published: (2025)
by: Zhao, Zeyuan, et al.
Published: (2025)
Graph Attention-Guided Search for Dense Multi-Agent Pathfinding
by: Jain, Rishabh, et al.
Published: (2025)
by: Jain, Rishabh, et al.
Published: (2025)
MARFT: Multi-Agent Reinforcement Fine-Tuning
by: Liao, Junwei, et al.
Published: (2025)
by: Liao, Junwei, et al.
Published: (2025)
HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding
by: Tang, Huijie, et al.
Published: (2024)
by: Tang, Huijie, et al.
Published: (2024)
MATE: LLM-Powered Multi-Agent Translation Environment for Accessibility Applications
by: Algazinov, Aleksandr, et al.
Published: (2025)
by: Algazinov, Aleksandr, et al.
Published: (2025)
Improved Anonymous Multi-Agent Path Finding Algorithm
by: Ali, Zain Alabedeen, et al.
Published: (2023)
by: Ali, Zain Alabedeen, et al.
Published: (2023)
Where Paths Collide: A Comprehensive Survey of Classic and Learning-Based Multi-Agent Pathfinding
by: Wang, Shiyue, et al.
Published: (2025)
by: Wang, Shiyue, et al.
Published: (2025)
Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
by: Tang, Huijie, et al.
Published: (2024)
by: Tang, Huijie, et al.
Published: (2024)
Multi-Agent Path Finding For Large Agents Is Intractable
by: Agafonov, Artem, et al.
Published: (2025)
by: Agafonov, Artem, et al.
Published: (2025)
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
by: Li, Xinran, et al.
Published: (2024)
by: Li, Xinran, et al.
Published: (2024)
Reinforcement Networks: novel framework for collaborative Multi-Agent Reinforcement Learning tasks
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)
by: Kryzhanovskiy, Maksim, et al.
Published: (2025)
Learning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding
by: Chung, Jaehoon, et al.
Published: (2023)
by: Chung, Jaehoon, et al.
Published: (2023)
OptiMindTune: A Multi-Agent Framework for Intelligent Hyperparameter Optimization
by: Madiraju, Meher Bhaskar, et al.
Published: (2025)
by: Madiraju, Meher Bhaskar, et al.
Published: (2025)
Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
by: Yang, Huchen, et al.
Published: (2026)
by: Yang, Huchen, et al.
Published: (2026)
MARL-GPT: Foundation Model for Multi-Agent Reinforcement Learning
by: Nesterova, Maria, et al.
Published: (2026)
by: Nesterova, Maria, et al.
Published: (2026)
SkyRover: A Modular Simulator for Cross-Domain Pathfinding
by: Ma, Wenhui, et al.
Published: (2025)
by: Ma, Wenhui, et al.
Published: (2025)
SRMT: Shared Memory for Multi-agent Lifelong Pathfinding
by: Sagirova, Alsu, et al.
Published: (2025)
by: Sagirova, Alsu, et al.
Published: (2025)
Detecting Multi-Agent Collusion Through Multi-Agent Interpretability
by: Rose, Aaron, et al.
Published: (2026)
by: Rose, Aaron, et al.
Published: (2026)
Agent-Oriented Planning in Multi-Agent Systems
by: Li, Ao, et al.
Published: (2024)
by: Li, Ao, et al.
Published: (2024)
Decentralized Unlabeled Multi-agent Pathfinding Via Target And Priority Swapping (With Supplementary)
by: Dergachev, Stepan, et al.
Published: (2024)
by: Dergachev, Stepan, et al.
Published: (2024)
Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants
by: Nathani, Deepak, et al.
Published: (2026)
by: Nathani, Deepak, et al.
Published: (2026)
Frontier Coding Agents Can Now Implement an AlphaZero Self-Play Machine Learning Pipeline For Connect Four That Performs Comparably to an External Solver
by: Sherwood, Joshua, et al.
Published: (2026)
by: Sherwood, Joshua, et al.
Published: (2026)
When Reasoning Models Hurt Behavioral Simulation: A Solver-Sampler Mismatch in Multi-Agent LLM Negotiation
by: Andric, Sandro
Published: (2026)
by: Andric, Sandro
Published: (2026)
Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm
by: Kim, Hyeonjun, et al.
Published: (2025)
by: Kim, Hyeonjun, et al.
Published: (2025)
GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems
by: Chen, Hongjiang, et al.
Published: (2026)
by: Chen, Hongjiang, et al.
Published: (2026)
Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
by: Du, Hung, et al.
Published: (2025)
by: Du, Hung, et al.
Published: (2025)
Context Learning for Multi-Agent Discussion
by: Hua, Xingyuan, et al.
Published: (2026)
by: Hua, Xingyuan, et al.
Published: (2026)
Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
by: Abadi, Alireza Saleh, et al.
Published: (2025)
by: Abadi, Alireza Saleh, et al.
Published: (2025)
Distributed Multi-Agent Coordination Using Multi-Modal Foundation Models
by: Mahmud, Saaduddin, et al.
Published: (2025)
by: Mahmud, Saaduddin, et al.
Published: (2025)
Learning Progress Driven Multi-Agent Curriculum
by: Zhao, Wenshuai, et al.
Published: (2022)
by: Zhao, Wenshuai, et al.
Published: (2022)
Norm-Governed Multi-Agent Decision-Making in Simulator-Coupled Environments:The Reinsurance Constrained Multi-Agent Simulation Process (R-CMASP)
by: Dong, Stella C.
Published: (2025)
by: Dong, Stella C.
Published: (2025)
LLMDR: LLM-Driven Deadlock Detection and Resolution in Multi-Agent Pathfinding
by: Seo, Seungbae, et al.
Published: (2025)
by: Seo, Seungbae, et al.
Published: (2025)
Similar Items
-
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
by: Andreychuk, Anton, et al.
Published: (2024) -
POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding
by: Skrynnik, Alexey, et al.
Published: (2024) -
Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding
by: Vyaltsev, Valeriy, et al.
Published: (2026) -
CAMAR: Continuous Actions Multi-Agent Routing
by: Pshenitsyn, Artem, et al.
Published: (2025) -
Optimal and Bounded Suboptimal Any-Angle Multi-agent Pathfinding
by: Yakovlev, Konstantin, et al.
Published: (2024)