CognitiveAISystems / MAPF-GPT
[AAAI-2025] 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 actions under partial observability without heuristics or agent communication. MAPF-GPT excels on unseen instances and outperforms learnable state-of-the-art solvers
☆50Updated 3 months ago
Alternatives and similar repositories for MAPF-GPT:
Users that are interested in MAPF-GPT are comparing it to the libraries listed below
- [AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follow…☆39Updated 7 months ago
- POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically desig…☆30Updated 2 weeks ago
- [AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a…☆23Updated 7 months ago
- "When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-plannin…☆30Updated 7 months ago
- offical code of paper 'SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding'☆46Updated last year
- Learnable MAPF. “Distributed Heuristic Multi-Agent Path Finding with Communication” (DHC) algorithm from ICRA 2021 is implemented and ben…☆18Updated last year
- ☆24Updated 3 months ago
- [IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding☆40Updated 5 months ago
- This is an umbrella repository that contains links and information about all the tools and algorithms related to the POGEMA Benchmark.☆20Updated 6 months ago
- Learning Selective Communication for Multi-Agent Path Finding☆26Updated 3 years ago
- ☆16Updated 6 months ago
- Engineering LaCAM*: Towards Real-Time, Large-Scale, and Near-Optimal Multi-Agent Pathfinding (AAMAS-24)☆64Updated 3 weeks ago
- ☆24Updated 6 months ago
- The official repo for ICRA 2023 paper 'Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality'☆18Updated last year
- Reinforcement Learning for Multi-Agent Path Finding☆24Updated 5 months ago
- POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically desig…☆217Updated 6 months ago
- Implementations of various algorithms used to solve the problem of Multi-Agent Pickup and Delivery (a generalization of Multi-Agent Path …☆59Updated 3 years ago
- Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021☆68Updated 3 years ago
- Minimal Python implementation of PIBT for MAPF☆28Updated last year
- MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search☆75Updated 10 months ago
- Benchmarking Large Neighborhood Search for Multi-Agent Path Finding☆9Updated 2 weeks ago
- Official implementation of the paper "Multi-Robot Coordination and Layout Design for Automated Warehousing", published in IJCAI 2023.☆21Updated last year
- Heuristic Search vs. Learning. "Distributed Heuristic Multi-Agent Path Finding with Communication" reproduced, trained & benchmarked with…☆21Updated 2 years ago
- This is the repo for the team Pikachu's solution in the League of Robot Competition 2023. Our solution won the Overall Best and Fast Move…☆17Updated 5 months ago
- An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.☆57Updated 3 years ago
- Anytime Multi-Agent Path Finding via Large-Neighborhood Search☆58Updated 10 months ago
- Codes for paper Integrated Task Assignment and Path Planning forCapacitated Multi-Agent Pickup and Delivery☆44Updated 2 years ago
- Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding (AIJ-22)☆69Updated 7 months ago
- Minimal Python implementation of LaCAM* for MAPF☆19Updated 7 months ago
- An offline visualization tool for analysing solutions to multi-robot coordination problems.☆33Updated last month