Cognitive-AI-Systems / learn-to-followLinks
[AAAI-2024] Follower: 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.
☆53Updated 5 months ago
Alternatives and similar repositories for learn-to-follow
Users that are interested in learn-to-follow are comparing it to the libraries listed below
Sorting:
- [AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a…☆28Updated 5 months ago
- "When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-plannin…☆40Updated last year
- [AAAI-2025] This repository contains MAPF-GPT, a deep learning-based model for solving MAPF problems. Trained with imitation learning on …☆99Updated 5 months ago
- offical code of paper 'SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding'☆56Updated 2 years ago
- ☆44Updated last year
- This is an umbrella repository that contains links and information about all the tools and algorithms related to the POGEMA Benchmark.☆30Updated 3 weeks ago
- [IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding☆55Updated last year
- POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically desig…☆44Updated 5 months ago
- Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021☆72Updated 4 years ago
- An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.☆60Updated 3 years ago
- A multi-agent reinforcement learning solution to Flatland3 challenge.☆17Updated last year
- Learning Selective Communication for Multi-Agent Path Finding☆29Updated 4 years ago
- [ICLR-2025] POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specif…☆257Updated last week
- Public version of the decentralized, attention-based mTSP code☆37Updated 4 years ago
- ☆116Updated last year
- Training code PRIMAL2 - Public Repo☆185Updated last year
- Heuristic Search vs. Learning. "Distributed Heuristic Multi-Agent Path Finding with Communication" reproduced, trained & benchmarked with…☆27Updated 3 years ago
- Heterogeneous Multi-Robot Reinforcement Learning☆60Updated last month
- PPO and PyMARL baseline for Pogema environment☆23Updated last year
- Learnable MAPF. “Distributed Heuristic Multi-Agent Path Finding with Communication” (DHC) algorithm from ICRA 2021 is implemented and ben…☆23Updated 2 years ago
- Minimal Python implementation of LaCAM* for MAPF☆42Updated last month
- Reinforcement Learning for Multi-Agent Path Finding☆38Updated 8 months ago
- Task-Assignment Multi-Robot Warehouse (TA-RWARE): A multi-agent reinforcement learning warehouse environment for task-assignment optimisa…☆65Updated last year
- Minimal Python implementation of PIBT for MAPF☆50Updated last month
- Official implementation of the paper "Multi-Robot Coordination and Layout Design for Automated Warehousing", published in IJCAI 2023.☆23Updated 2 years ago
- Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams☆51Updated 3 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆72Updated last year
- ☆22Updated 2 years ago
- Solution of NeurIPS 2020 Flatland Challenge from the team An_old_driver.☆68Updated 4 years ago
- [AAMAS 2024] HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding☆13Updated last year