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gnn_pathplanning

Graph Neural Networks for Decentralized Path Planning

learn-to-follow

This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follower approach utilizes a combination of a planning algorithm for constructing a long-term plan and reinforcement learning for resolving local conflicts.

magat_pathplanning

mapf-solver

Multi Agent Path Finding Algorithms

multi-agent-path-finding-with-reinforcement-learning

Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.

multi_agent_path_planning

Python implementation of a bunch of multi-robot path-planning algorithms.

nlp_lesson

codes and reports for NLP lesson

pico

An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.

primal

PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Distributed RL/IL code for Multi-Agent Path Finding (MAPF)

scrimp

offical code of paper 'SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding'