Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search
Fuente:
arXiv
Saved in:
| Main Authors: | Phan, Thomy, Huang, Taoan, Dilkina, Bistra, Koenig, Sven |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet
by: Chen, Weizhe, et al.
Published: (2024)
by: Chen, Weizhe, et al.
Published: (2024)
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search
by: Chan, Shao-Hung, et al.
Published: (2024)
by: Chan, Shao-Hung, et al.
Published: (2024)
MARL-LNS: Cooperative Multi-agent Reinforcement Learning via Large Neighborhoods Search
by: Chen, Weizhe, et al.
Published: (2024)
by: Chen, Weizhe, et al.
Published: (2024)
Confidence-Based Curriculum Learning for Multi-Agent Path Finding
by: Phan, Thomy, et al.
Published: (2024)
by: Phan, Thomy, et al.
Published: (2024)
No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding
by: Chen, Weizhe, et al.
Published: (2024)
by: Chen, Weizhe, et al.
Published: (2024)
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic
by: Phan, Thomy, et al.
Published: (2024)
by: Phan, Thomy, et al.
Published: (2024)
Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower Bounds
by: Tang, Yimin, et al.
Published: (2025)
by: Tang, Yimin, et al.
Published: (2025)
Multi-Agent Path Finding Among Dynamic Uncontrollable Agents with Statistical Safety Guarantees
by: Strawn, Kegan J., et al.
Published: (2025)
by: Strawn, Kegan J., et al.
Published: (2025)
Caching-Augmented Lifelong Multi-Agent Path Finding
by: Tang, Yimin, et al.
Published: (2024)
by: Tang, Yimin, et al.
Published: (2024)
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
by: Huang, Taoan, et al.
Published: (2023)
by: Huang, Taoan, et al.
Published: (2023)
Aquarium: A Comprehensive Framework for Exploring Predator-Prey Dynamics through Multi-Agent Reinforcement Learning Algorithms
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, 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)
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problem
by: Cai, Junyang, et al.
Published: (2024)
by: Cai, Junyang, et al.
Published: (2024)
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization
by: Kölle, Michael, et al.
Published: (2023)
by: Kölle, Michael, et al.
Published: (2023)
ParBalans: Parallel Multi-Armed Bandits-based Adaptive Large Neighborhood Search
by: Yilmaz, Alican, et al.
Published: (2025)
by: Yilmaz, Alican, 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)
Multi-Objective Multi-Agent Path Finding with Lexicographic Cost Preferences
by: Rustagi, Pulkit, et al.
Published: (2025)
by: Rustagi, Pulkit, et al.
Published: (2025)
Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous Actions
by: Zhou, Shuai, et al.
Published: (2024)
by: Zhou, Shuai, et al.
Published: (2024)
Solving Multi-Agent Multi-Goal Path Finding Problems in Polynomial Time
by: Edelkamp, Stefan
Published: (2025)
by: Edelkamp, Stefan
Published: (2025)
MAPF-World: Action World Model for Multi-Agent Path Finding
by: Yang, Zhanjiang, et al.
Published: (2025)
by: Yang, Zhanjiang, et al.
Published: (2025)
Multi-task Representation Learning for Mixed Integer Linear Programming
by: Cai, Junyang, et al.
Published: (2024)
by: Cai, Junyang, et al.
Published: (2024)
Anytime Single-Step MAPF Planning with Anytime PIBT
by: Gandotra, Nayesha, et al.
Published: (2025)
by: Gandotra, Nayesha, et al.
Published: (2025)
Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding
by: Chen, Zhe, et al.
Published: (2023)
by: Chen, Zhe, et al.
Published: (2023)
Dynamic Incentivized Cooperation under Changing Rewards
by: Altmann, Philipp, et al.
Published: (2026)
by: Altmann, Philipp, et al.
Published: (2026)
Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
by: Zhang, Yulun, et al.
Published: (2024)
by: Zhang, Yulun, et al.
Published: (2024)
Optimized Directed Roadmap Graph for Multi-Agent Path Finding Using Stochastic Gradient Descent
by: Henkel, Christian, et al.
Published: (2020)
by: Henkel, Christian, et al.
Published: (2020)
Large Neighborhood Search for Multi-Agent Task Assignment and Path Finding with Precedence Constraints
by: Parimi, Viraj, et al.
Published: (2026)
by: Parimi, Viraj, et al.
Published: (2026)
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
When Agents Break Down in Multiagent Path Finding
by: Fioravantes, Foivos, et al.
Published: (2025)
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)
by: Liu, Qi, et al.
Published: (2024)
Scalable Mechanism Design for Multi-Agent Path Finding
by: Friedrich, Paul, et al.
Published: (2024)
by: Friedrich, Paul, et al.
Published: (2024)
Multi-agent Path Finding in Continuous Environment
by: Janovská, Kristýna, et al.
Published: (2024)
by: Janovská, Kristýna, et al.
Published: (2024)
Budget Allocation Policies for Real-Time Multi-Agent Path Finding
by: Beck, Raz, et al.
Published: (2025)
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)
by: Morag, Jonathan, 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)
by: Jiang, He, et al.
Published: (2024)
RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
by: Chen, Weizhe, et al.
Published: (2024)
by: Chen, Weizhe, et al.
Published: (2024)
New Mechanisms in Flex Distribution for Bounded Suboptimal Multi-Agent Path Finding
by: Chan, Shao-Hung, et al.
Published: (2025)
by: Chan, Shao-Hung, et al.
Published: (2025)
PC2P: Multi-Agent Path Finding via Personalized-Enhanced Communication and Crowd Perception
by: Li, Guotao, et al.
Published: (2026)
by: Li, Guotao, et al.
Published: (2026)
MGCBS: An Optimal and Efficient Algorithm for Solving Multi-Goal Multi-Agent Path Finding Problem
by: Tang, Mingkai, et al.
Published: (2024)
by: Tang, Mingkai, et al.
Published: (2024)
Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning
by: Cai, Junyang, et al.
Published: (2024)
by: Cai, Junyang, et al.
Published: (2024)
Similar Items
-
Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet
by: Chen, Weizhe, et al.
Published: (2024) -
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search
by: Chan, Shao-Hung, et al.
Published: (2024) -
MARL-LNS: Cooperative Multi-agent Reinforcement Learning via Large Neighborhoods Search
by: Chen, Weizhe, et al.
Published: (2024) -
Confidence-Based Curriculum Learning for Multi-Agent Path Finding
by: Phan, Thomy, et al.
Published: (2024) -
No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding
by: Chen, Weizhe, et al.
Published: (2024)