Cognitive-AI-Systems / when-to-switchLinks
"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. 🤖🛤️
☆40Updated last year
Alternatives and similar repositories for when-to-switch
Users that are interested in when-to-switch are comparing it to the libraries listed below
Sorting:
- offical code of paper 'SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding'☆56Updated 2 years ago
- Learnable MAPF. “Distributed Heuristic Multi-Agent Path Finding with Communication” (DHC) algorithm from ICRA 2021 is implemented and ben…☆24Updated 2 years ago
- [AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a…☆28Updated 5 months ago
- ☆45Updated last year
- Learning Selective Communication for Multi-Agent Path Finding☆29Updated 4 years ago
- [IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding☆55Updated last year
- [AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follow…☆55Updated 5 months ago
- Reinforcement Learning for Multi-Agent Path Finding☆40Updated 9 months ago
- Heuristic Search vs. Learning. "Distributed Heuristic Multi-Agent Path Finding with Communication" reproduced, trained & benchmarked with…☆27Updated 3 years ago
- Training code PRIMAL2 - Public Repo☆185Updated last year
- Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021☆74Updated 4 years ago
- An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.☆63Updated 3 years ago
- ☆118Updated last year
- Code for ICRA2024 Paper: Dynamic Coalition Formation and Routing for Multirobot Task Allocation via Reinforcement Learning.☆37Updated last year
- Task-Assignment Multi-Robot Warehouse (TA-RWARE): A multi-agent reinforcement learning warehouse environment for task-assignment optimisa…☆67Updated last year
- [AAAI-2025] This repository contains MAPF-GPT, a deep learning-based model for solving MAPF problems. Trained with imitation learning on …☆110Updated 5 months ago
- Multi-agent Task Allocation (WAFR2022)☆28Updated 4 years ago
- Minimal Python implementation of LaCAM* for MAPF☆42Updated 2 months ago
- Python implementation of Space-time A*, Prioritized Planning, & Conflict-based Search for Multi-agent Path Finding (MAPF)☆31Updated 5 years ago
- Multi Agent Path Finding Algorithms☆97Updated 4 years ago
- [AAMAS 2024] HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding☆13Updated last year
- Codes for paper Integrated Task Assignment and Path Planning forCapacitated Multi-Agent Pickup and Delivery☆52Updated 3 years ago
- Implementations of various algorithms used to solve the problem of Multi-Agent Pickup and Delivery (a generalization of Multi-Agent Path …☆73Updated 4 years ago
- Anytime Multi-Agent Path Finding via Large-Neighborhood Search☆73Updated last year
- A reinforcement learing environment for robotic mobile fulfilment system (RMFS)☆29Updated 2 years ago
- Goal of project is to write programs that will allow multiple agents to find optimal paths from their start location to their goal locat…☆34Updated 4 years ago
- A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️☆153Updated 5 years ago
- ☆37Updated 3 years ago
- Multi-Robot Pathfinding with GNNs. Project for ML with graphs @ VU Amsterdam☆26Updated last month
- This is an umbrella repository that contains links and information about all the tools and algorithms related to the POGEMA Benchmark.☆32Updated last month