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.
☆41Updated 9 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…☆24Updated 9 months ago
- "When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-plannin…☆31Updated 9 months ago
- POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically desig…☆40Updated 2 months ago
- [AAAI-2025] This repository contains MAPF-GPT, a deep learning-based model for solving MAPF problems. Trained with imitation learning on …☆62Updated 5 months ago
- offical code of paper 'SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding'☆54Updated last year
- Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021☆70Updated 3 years ago
- Learnable MAPF. “Distributed Heuristic Multi-Agent Path Finding with Communication” (DHC) algorithm from ICRA 2021 is implemented and ben…☆22Updated last year
- Learning Selective Communication for Multi-Agent Path Finding☆28Updated 3 years ago
- [IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding☆43Updated 7 months ago
- This is an umbrella repository that contains links and information about all the tools and algorithms related to the POGEMA Benchmark.☆22Updated 2 weeks ago
- An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.☆58Updated 3 years ago
- Heuristic Search vs. Learning. "Distributed Heuristic Multi-Agent Path Finding with Communication" reproduced, trained & benchmarked with…☆27Updated 2 years ago
- Minimal Python implementation of PIBT for MAPF☆32Updated last year
- ☆30Updated 5 months ago
- A multi-agent reinforcement learning solution to Flatland3 challenge.☆16Updated last year
- PPO and PyMARL baseline for Pogema environment☆22Updated 8 months ago
- The official repo for ICRA 2023 paper 'Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality'☆19Updated 2 years ago
- ☆17Updated 8 months ago
- An offline visualization tool for analysing solutions to multi-robot coordination problems.☆37Updated last month
- Reinforcement Learning for Multi-Agent Path Finding☆31Updated last month
- [AAMAS 2024] HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding☆11Updated last year
- Benchmarking Large Neighborhood Search for Multi-Agent Path Finding☆12Updated last week
- Codes for paper Integrated Task Assignment and Path Planning forCapacitated Multi-Agent Pickup and Delivery☆46Updated 2 years ago
- Official implementation of the paper "Multi-Robot Coordination and Layout Design for Automated Warehousing", published in IJCAI 2023.☆22Updated last year
- ☆30Updated 8 months ago
- Implementations of various algorithms used to solve the problem of Multi-Agent Pickup and Delivery (a generalization of Multi-Agent Path …☆63Updated 3 years ago
- Minimal Python implementation of LaCAM* for MAPF☆22Updated 10 months ago
- Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding (AIJ-22)☆72Updated last month
- MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search☆84Updated last year
- Anytime Multi-Agent Path Finding via Large-Neighborhood Search☆65Updated last year