Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*
An Efficient Multi-Agent Path Finding Solver for Car-Like Robots
Continuous CBS - a modification of conflict based search algorithm, that allows to perform actions (move, wait) of arbitrary duration. Timeline is not discretized, i.e. is continuous.
Iterative Refinement for Real-Time Multi-Robot Path Planning (IROS-21)
Algorithm for prioritized multi-agent path finding (MAPF) in grid-worlds. Moves into arbitrary directions are allowed (each agent is allowed to follow any-angle path on the grid). Timeline is continuous, i.e. action durations are not explicitly discretized into timesteps. Different agents' size and moving speed are supported. Planning is carried…
📍🗺️ A Python library for Multi-Agents Planning and Pathfinding (Centralized and Decentralized)
Multi-agent pathfinding via Conflict Based Search
Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding (AIJ-22)
simple multi-agent pathfinding (MAPF) visualizer for research usage
Engineering LaCAM*: Towards Real-Time, Large-Scale, and Near-Optimal Multi-Agent Pathfinding (AAMAS-24)
JAX-based implementation for multi-agent path planning (MAPP) in continuous spaces.
LaCAM: Search-Based Algorithm for Quick Multi-Agent Pathfinding (AAAI-23)
Multi-Agent Pickup and Delivery implementation
This repository contains MAPF-GPT, a deep learning-based model for solving MAPF problems. Trained with imitation learning on trajectories produced by LaCAM, it generates collision-free paths under partial observability without heuristics or agent communication. MAPF-GPT excels on unseen instances and outperforms state-of-the-art solvers.
[IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding
Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding (IJCAI-23)
Offline Time-Independent Multi-Agent Path Planning (IJCAI-22, T-RO-23)
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