henryhcliu / Multi-agent-Path-Planning-with-Reinforcement-Learning-and-Artificial-Potential-FieldView on GitHub
This program aims to solve an MAPP problem raised in our published one paper on the Chinese Automation Conference (CAC 2021), and the program is part of the simulation.
☆22May 28, 2023Updated 3 years ago
Alternatives and similar repositories for Multi-agent-Path-Planning-with-Reinforcement-Learning-and-Artificial-Potential-Field
Users that are interested in Multi-agent-Path-Planning-with-Reinforcement-Learning-and-Artificial-Potential-Field are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Multi-Agent Reinforcement Learning for Path Planning☆15Jan 8, 2022Updated 4 years ago
- Code for the paper "Coordinated Multi-Agent Exploration, Rendezvous, & Task Allocation in Unknown Environments with Limited Connectivity"☆22Jun 9, 2024Updated 2 years ago
- ☆16Sep 28, 2022Updated 3 years ago
- Search Area optimization of UAVs☆12Jan 16, 2024Updated 2 years ago
- Modified MDP and Q-Learning Algorithm | Multiagent optimization | Path Planning | Navigation | Reinforcement Learning | Stochastic System…☆75Jul 28, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Full coverage path planning provides a move_base_flex plugin that can plan a path that will fully cover a given area☆12Oct 24, 2024Updated last year
- Academic Study of A Multi-Agent Quadrotors (Drones) Simulator with Obstacles and Goals Using the Artificial Potential Field Approach(APF)…☆19Feb 13, 2022Updated 4 years ago
- 基于生物启发式算法的多智能体强化学习算法☆15Apr 14, 2021Updated 5 years ago
- Task assignment for informative search and track of multiple UAVs☆20May 11, 2018Updated 8 years ago
- Multi Agent Reinforcement Learning for Dense Path Planning☆33Nov 21, 2022Updated 3 years ago
- Scalable Coverage Path Planning of Multi-Robot Teams for Monitoring Non-Convex Areas☆29Mar 16, 2026Updated 4 months ago
- Deep learning model powered by Graph Neural Networks and Reinforcement Learning for multi-robot path planning at @Inria☆68Mar 6, 2024Updated 2 years ago
- ☆12Mar 4, 2024Updated 2 years ago
- Self-Adaptive_Swarm_System(SASS) for 2019 IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS) Version. Paper: Self-…☆29Mar 9, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Formation control and obstacle avoidance are two required features for swarm robots to reach an intended goal in an environment with obst…☆34Sep 17, 2020Updated 5 years ago
- All routing protocol performs specific task in underwater wireless sensor network(UWSN). Routing is responsible for networking problems. …☆13Oct 5, 2017Updated 8 years ago
- This repository achieves an optimization-based unified decision-making and control for urban autonomous driving in Carla simulator.☆65Dec 2, 2025Updated 7 months ago
- The code for paper 'Hierarchical Policy for Non-prehensile Multi-object Rearrangement with Deep Reinforcement Learning and Monte Carlo Tr…☆21Aug 18, 2023Updated 2 years ago
- Developed Autonomous Robot Planning with RRT, RRT*, RRT*smart, and RRTconnect Algorithms, validated on 2D maps as well as 3D simulation …☆22Jan 8, 2024Updated 2 years ago
- Paper Title:"Bypassing or flying above the obstacles? A novel multi-objective UAV path planning problem" These datasets are different in …☆10Jan 30, 2020Updated 6 years ago
- 3D UAV simulation and autonomous control for path tracking☆39Oct 15, 2025Updated 9 months ago
- Project explores collaboration capabilities of VDN and IQL agents on a custom MARL Food Collector environment☆11Apr 6, 2022Updated 4 years ago
- Implementation of a multi-agent planning algorithm based on potential field method with a distributed feedback protocol. (Summer 2018)☆13Mar 31, 2019Updated 7 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- APF accelerates DQN in mobile robot path planning.☆26Nov 20, 2023Updated 2 years ago
- We use policy gradient to help agents learn optimal policies in a competitive multi-agent contextual bandit setting☆12Mar 9, 2018Updated 8 years ago
- Tools and data of the paper "Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing"☆14Jul 9, 2024Updated 2 years ago
- Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles☆10Mar 6, 2026Updated 4 months ago
- A path-planning task for the summer school based on the Multiple Traveling Salesman Problem (MTSP)☆18Jul 7, 2022Updated 4 years ago
- ☆10Nov 10, 2020Updated 5 years ago
- This repository contains the source codes of a novel variant of the Grey Wolf Optimization (GWO) algorithm, named Velocity-Aided Grey Wol…☆12Mar 18, 2022Updated 4 years ago
- This project consists of C++ implementations of a 3D Rapidly Exploring Random Tree and three other extensions called RRT*, Execution Ext…☆21Mar 24, 2023Updated 3 years ago
- This work is submitted to IROS 2023: IEEE/RSJ International Conference on Intelligent Robots and Systems☆24Feb 11, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A Novel Network-Flow Model for Building Evacuation: Route Choices of Evacuees are Modeled with Herding Effect☆11Sep 6, 2024Updated last year
- Here is our algorithm for Pursuit Problem based on the Distributed Reinforcement Learning for Cooperative Multi-robot Pursuit☆10Apr 17, 2019Updated 7 years ago
- We optimize SIEP algorithm in multiple intelligent agents scenario and comparatively research A*, DFS, BFS, Dijkstra, PFP and PRM.☆15Jul 31, 2024Updated last year
- A data-driven approach for Unmanned aerial vehicle (UAV) path planning in a hostile environment, the feedback rapidly-exploring random tr…☆12Oct 8, 2022Updated 3 years ago
- [RA-L 2025] iA*: Imperative Learning-based A* Search for Path Planning☆25Jul 21, 2026Updated last week
- Continual Multi-agent Reinforcement Learning in Dynamic Environments☆11Jul 1, 2021Updated 5 years ago
- Pytorch implementations of the multi-agent reinforcement learning algorithms, including QMIX, VDN, COMA, MADDPG, MATD3, FACMAC and MASoft…☆56Mar 10, 2025Updated last year