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. 🤖🛤️
☆33Updated 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'☆55Updated last year
- Learnable MAPF. “Distributed Heuristic Multi-Agent Path Finding with Communication” (DHC) algorithm from ICRA 2021 is implemented and ben…☆23Updated last year
- [AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a…☆25Updated 3 weeks ago
- Learning Selective Communication for Multi-Agent Path Finding☆28Updated 3 years ago
- ☆35Updated 8 months ago
- Reinforcement Learning for Multi-Agent Path Finding☆33Updated 4 months ago
- Code for ICRA2024 Paper: Dynamic Coalition Formation and Routing for Multirobot Task Allocation via Reinforcement Learning.☆31Updated last year
- [AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follow…☆42Updated 3 weeks ago
- Heuristic Search vs. Learning. "Distributed Heuristic Multi-Agent Path Finding with Communication" reproduced, trained & benchmarked with…☆28Updated 2 years ago
- [IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding☆47Updated 10 months ago
- [AAMAS 2024] HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding☆11Updated last year
- An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.☆59Updated 3 years ago
- The deep reinforcement learning method for multi-robot task allocation problem SR-ST-TA☆43Updated 2 years ago
- [AAAI-2025] This repository contains MAPF-GPT, a deep learning-based model for solving MAPF problems. Trained with imitation learning on …☆74Updated 3 weeks ago
- Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021☆72Updated 3 years ago
- ☆15Updated last year
- Minimal Python implementation of LaCAM* for MAPF☆31Updated last year
- Multi Agent Path Finding Algorithms☆90Updated 4 years ago
- Code for G2RL to solve the multi-robot path planning problem in a fully distributed reactive manner.☆69Updated last year
- A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️☆143Updated 5 years ago
- Task-Assignment Multi-Robot Warehouse (TA-RWARE): A multi-agent reinforcement learning warehouse environment for task-assignment optimisa…☆54Updated 11 months ago
- Multi-agent Task Allocation (WAFR2022)☆26Updated 3 years ago
- Implementation of the SADG RHC feedback control scheme to reduce route completion times of delayed agents following MAPF plans.☆24Updated last year
- ☆35Updated 3 years ago
- Training code PRIMAL2 - Public Repo☆181Updated last year
- The repository contains the implementation Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding. It plans and navigates more t…☆21Updated last month
- ☆113Updated last year
- Multi-Robot Pathfinding with GNNs. Project for ML with graphs @ VU Amsterdam☆21Updated last year
- Python implementation of Space-time A*, Prioritized Planning, & Conflict-based Search for Multi-agent Path Finding (MAPF)☆28Updated 4 years ago
- An efficient solver for lifelong Multi-Agent Path Finding☆178Updated 8 months ago