mail-ecnu / PICOLinks
An algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks.
☆59Updated 3 years ago
Alternatives and similar repositories for PICO
Users that are interested in PICO 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 2 years ago
- Distributed Heuristic Multi-Agent Path Finding with Communication - ICRA 2021☆72Updated 3 years ago
- Learning Selective Communication for Multi-Agent Path Finding☆28Updated 3 years ago
- Learnable MAPF. “Distributed Heuristic Multi-Agent Path Finding with Communication” (DHC) algorithm from ICRA 2021 is implemented and ben…☆23Updated last year
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆37Updated 4 years ago
- Reinforcement Learning for Multi-Agent Path Finding☆33Updated 5 months ago
- Training code PRIMAL2 - Public Repo☆182Updated last year
- Heuristic Search vs. Learning. "Distributed Heuristic Multi-Agent Path Finding with Communication" reproduced, trained & benchmarked with…☆28Updated 2 years ago
- Multi-agent Task Allocation (WAFR2022)☆26Updated 3 years ago
- [IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding☆47Updated 11 months ago
- Multi Agent Reinforcement Learning for Dense Path Planning☆31Updated 2 years ago
- "When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-plannin…☆35Updated last year
- A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️☆144Updated 5 years ago
- ☆113Updated last year
- ☆35Updated 8 months ago
- A reinforcement learing environment for robotic mobile fulfilment system (RMFS)☆28Updated 2 years ago
- A Reinforcement Learning Approach for Optimizing Multiple Traveling Salesman Problems over Graphs☆36Updated 5 years ago
- Code for G2RL to solve the multi-robot path planning problem in a fully distributed reactive manner.☆69Updated 2 years ago
- A multi-agent reinforcement learning solution to Flatland3 challenge.☆16Updated last year
- Task-Assignment Multi-Robot Warehouse (TA-RWARE): A multi-agent reinforcement learning warehouse environment for task-assignment optimisa…☆54Updated last year
- [AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a…☆25Updated last month
- The deep reinforcement learning method for multi-robot task allocation problem SR-ST-TA☆43Updated 2 years ago
- Deep learning model powered by Graph Neural Networks and Reinforcement Learning for multi-robot path planning at @Inria☆58Updated last year
- [AAMAS 2024] HiMAP: Learning Heuristics-Informed Policies for Large-Scale Multi-Agent Pathfinding☆11Updated last year
- [AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follow…☆45Updated last month
- The official repo for ICRA 2023 paper 'Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality'☆19Updated 2 years ago
- Multi-Agent Pickup and Delivery implementation☆37Updated 4 months ago
- Implementations of various algorithms used to solve the problem of Multi-Agent Pickup and Delivery (a generalization of Multi-Agent Path …☆66Updated 3 years ago
- This project provides several RL algorithm to control multi-AGV to find collision-free paths in a robotic and mobile fulfiment system (su…☆76Updated 2 years ago
- -A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques☆32Updated 4 years ago