Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*

[ICLR-2025] POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF / MAPF settings.

📍🗺️ A Python library for Multi-Agents Planning and Pathfinding (Centralized and Decentralized)

[IROS-2025] MAPF-GPT-DDG is a scalable decentralized multi-agent pathfinding (MAPF) solver based on imitation learning. It builds upon MAPF-GPT by introducing a novel fine-tuning method called Delta Data Generation (DDG) — a reward-free active learning approach that identifies and corrects failure cases in the policy.

[IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding

Minimal Python implementation of PIBT for MAPF

Minimal Python implementation of LaCAM* for MAPF

"When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-planning, reinforcement learning techniques, and three mixed policies for pathfinding in partially observable multi-agent environments. 🤖🛤️

Multi-Agent Pickup and Delivery implementation

Implementation of the SADG RHC feedback control scheme to reduce route completion times of delayed agents following MAPF plans.

[AAMAS 2024] HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding

Minimal Python implementation of TSWAP for unlabeled MAPF

SkyRover, a modular and extensible simulator tailored for cross-domain pathfinding research.

This repository collects reference implementations for training and evaluating reinforcement learning agents on multi-agent pathfinding problems. The environments explicitly support deadlocks so that agents must cooperate to resolve them.

Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding (ICLR-2026)

Combinatorial Decision Making and Optimization Course Project.

Multi Agent Path Finding CBS algorithm with visualization as a mini project in robotics seminar

Autonomous ITS engine for real-time mobility routing, prediction, and geospatial intelligence. Built on MQTT, GTFS/GTFS-RT, and a self-healing microservice architecture.

Multi-agent pathfinding project

An implementation of MAPF with visualization