Cover Image

RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Yimin, Xiong, Xiao, Xi, Jingyi, Li, Jiaoyang, Bıyık, Erdem, Koenig, Sven
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Judgelight: Trajectory-Level Post-Optimization for Multi-Agent Path Finding via Closed-Subwalk Collapsing
by: Tang, Yimin, et al.
Published: (2026)

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

ITA-ECBS: A Bounded-Suboptimal Algorithm for the Combined Target-Assignment and Path-Finding Problem
by: Tang, Yimin, et al.
Published: (2024)

Enhancing Lifelong Multi-Agent Path Finding with Cache Mechanism
by: Tang, Yimin, et al.
Published: (2025)

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

Multi-Agent Path Finding in Continuous Spaces with Projected Diffusion Models
by: Liang, Jinhao, et al.
Published: (2024)

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

Bridging Planning and Execution: Multi-Agent Path Finding Under Real-World Deadlines
by: Yan, Jingtian, et al.
Published: (2025)

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

New Mechanisms in Flex Distribution for Bounded Suboptimal Multi-Agent Path Finding
by: Chan, Shao-Hung, et al.
Published: (2025)

MILE: Model-based Intervention Learning
by: Korkmaz, Yigit, et al.
Published: (2025)

Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution
by: Su, Yifan, et al.
Published: (2023)

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

Conflict Mitigation in Shared Environments using Flow-Aware Multi-Agent Path Finding
by: Heuer, Lukas, et al.
Published: (2026)

Multi-Agent Inverse Q-Learning from Demonstrations
by: Haynam, Nathaniel, et al.
Published: (2025)

Batch Active Learning of Reward Functions from Human Preferences
by: Bıyık, Erdem, et al.
Published: (2024)

Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding
by: Jiang, He, et al.
Published: (2024)

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

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

Multi-Agent Path Finding Among Dynamic Uncontrollable Agents with Statistical Safety Guarantees
by: Strawn, Kegan J., et al.
Published: (2025)

LNS2+RL: Combining Multi-Agent Reinforcement Learning with Large Neighborhood Search in Multi-Agent Path Finding
by: Wang, Yutong, et al.
Published: (2024)

GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning
by: Banayeeanzade, Amin, et al.
Published: (2025)

Causally Robust Reward Learning from Reason-Augmented Preference Feedback
by: Hwang, Minjune, et al.
Published: (2026)

Actor-Free Continuous Control via Structurally Maximizable Q-Functions
by: Korkmaz, Yigit, 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)

DMS*: Minimizing Makespan for Multi-Agent Combinatorial Path Finding
by: Ren, Zhongqiang, et al.
Published: (2023)

Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions
by: Jain, Ayush, 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)

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

EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
by: Zhang, Jesse, et al.
Published: (2024)

Multi-Agent Motion Planning For Differential Drive Robots Through Stationary State Search
by: Yan, Jingtian, et al.
Published: (2024)

IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models
by: Ling, Yiyang, et al.
Published: (2025)

When a Robot is More Capable than a Human: Learning from Constrained Demonstrators
by: Li, Xinhu, et al.
Published: (2025)

Simulation-Informed Diffusion for Decentralized Multi-robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2026)

Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning
by: Liang, Jinhao, et al.
Published: (2025)

Learning-guided Prioritized Planning for Lifelong Multi-Agent Path Finding in Warehouse Automation
by: Zheng, Han, et al.
Published: (2026)

Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding
by: Feng, Pu, et al.
Published: (2025)

Path Planning through Multi-Agent Reinforcement Learning in Dynamic Environments
by: De Maeyer, Jonas, et al.
Published: (2025)

Multi-Agent Combinatorial Path Finding with Heterogeneous Task Duration
by: Zhang, Yuanhang, et al.
Published: (2023)

PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
by: Zhang, Jesse, et al.
Published: (2025)