Cognitive-AI-Systems / mats-lp
[AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a combination of Monte Carlo Tree Search and reinforcement learning for resolving conflicts.
☆24Updated 7 months ago
Alternatives and similar repositories for mats-lp:
Users that are interested in mats-lp are comparing it to the libraries listed below
- "When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-plannin…☆31Updated 7 months ago
- [AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follow…☆39Updated 7 months ago
- [AAAI-2025] This repository contains MAPF-GPT, a deep learning-based model for solving MAPF problems. Trained with imitation learning on …☆53Updated 3 months ago
- offical code of paper 'SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding'☆49Updated last year
- [IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding☆42Updated 6 months ago
- POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically desig…☆34Updated last month
- This is an umbrella repository that contains links and information about all the tools and algorithms related to the POGEMA Benchmark.☆20Updated 7 months ago
- Learning Selective Communication for Multi-Agent Path Finding☆27Updated 3 years ago
- Learnable MAPF. “Distributed Heuristic Multi-Agent Path Finding with Communication” (DHC) algorithm from ICRA 2021 is implemented and ben…☆19Updated last year
- ☆27Updated 4 months ago
- Reinforcement Learning for Multi-Agent Path Finding☆28Updated last week
- PPO and PyMARL baseline for Pogema environment☆20Updated 7 months ago
- Heuristic Search vs. Learning. "Distributed Heuristic Multi-Agent Path Finding with Communication" reproduced, trained & benchmarked with…☆22Updated 2 years ago
- Benchmarking Large Neighborhood Search for Multi-Agent Path Finding☆9Updated last month
- Implementations of various algorithms used to solve the problem of Multi-Agent Pickup and Delivery (a generalization of Multi-Agent Path …☆62Updated 3 years ago
- [AAMAS 2024] HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding☆10Updated last year
- 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…☆18Updated 6 months ago
- Codes for paper Integrated Task Assignment and Path Planning forCapacitated Multi-Agent Pickup and Delivery☆44Updated 2 years ago
- A Reinforcement Learning Approach for Optimizing Multiple Traveling Salesman Problems over Graphs☆34Updated 4 years ago
- An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.☆58Updated 3 years ago
- MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search☆77Updated 11 months ago
- Minimal Python implementation of PIBT for MAPF☆30Updated last year
- A reinforcement learing environment for robotic mobile fulfilment system (RMFS)☆27Updated 2 years ago
- Public version of the decentralized, attention-based mTSP code☆36Updated 3 years ago
- A multi-agent reinforcement learning solution to Flatland3 challenge.☆16Updated last year
- Python implementation of Space-time A*, Prioritized Planning, & Conflict-based Search for Multi-agent Path Finding (MAPF)☆24Updated 4 years ago
- An offline visualization tool for analysing solutions to multi-robot coordination problems.☆34Updated last week
- Multi-agent Task Allocation (WAFR2022)☆25Updated 3 years ago
- Anytime Multi-Agent Path Finding via Large-Neighborhood Search☆60Updated 11 months ago
- ☆18Updated last year