SECNetLabUNM / HTransRLLinks
Hybrid Transformer based Multi-agent Reinforcement Learning (HTransRL) is for drone coordination in air corridors, addressing the challenges of dynamic dimensions and types of state inputs, which cannot addressed by the traditional MARL.
☆16Updated last year
Alternatives and similar repositories for HTransRL
Users that are interested in HTransRL are comparing it to the libraries listed below
Sorting:
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆24Updated 3 years ago
- Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing☆130Updated 3 years ago
- 无人机动态覆盖控制；1. 实现了一个无人机点覆盖环境；2. 给出了无人机连通保持规则；3. 给出了基于MARL的控制算法☆66Updated 4 months ago
- The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous …☆32Updated 2 years ago
- This code is for the paper titled Path Planning for the Dynamic UAV-aided Wireless Systems Using Monte Carlo Tree Search, which is under…☆32Updated 4 years ago
- using actor-critic method to dealing with the path-planning UAV problem☆20Updated 6 years ago
- An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in ful…☆57Updated 3 months ago
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆107Updated 4 years ago
- An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide …☆135Updated 2 years ago
- An Gym based enviroment to evaluate Multi Uav Task Alocation Algorithm☆12Updated last year
- Attempt to reproduce and improve the implementation of the paper 'Improving Multi-Target Cooperative Tracking Guidance for UAV Swarms Usi…☆60Updated last year
- [EAAI] A two-stage reinforcement learning-based approach for multi-entity task allocation.☆32Updated last year
- Code base for Multi-UAV Behavior-based Formation with Static and Dynamic Obstacles Avoidance via Reinforcement Learning.☆23Updated last month
- 基于深度强化学习技术（DRL），提出了结合D3QN算法和多步学习的无人机3D路径优化算法。为进一步优化算法，提出一种三维同步导航和无线电测绘（SNARM）新框架。☆72Updated 2 years ago
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆14Updated 3 years ago
- This repository contains a jupyter notebook which includes the code for Q-learning and SARSA based path planning of 2 UAVs in 2D grid env…☆11Updated 2 years ago
- This is a work on using meta-reinforcement learning to achieve autonomous target tracking and obstacle avoidance for UAVs☆65Updated last year
- ☆157Updated 7 months ago
- AI4IS / Multi-Dimensional-Decision-Making-for-UAV-Air-Combat-Based-on-Hierarchical-Reinforcement-LearningThis project is the partially open source code of EI thesis Multi-Dimensional Decision-Making for UAV Air Combat Based on Hierarchical Re…☆26Updated last year
- 强化学习大作业☆22Updated last year
- Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning☆164Updated 2 years ago
- including PPO, SAC, TD3, DDPG, DQN, DDQN, DuelingDQN algorithms☆27Updated 7 months ago
- ☆25Updated 2 years ago
- Deep reinforcement learning☆50Updated 4 years ago
- Multi-UAV Pursuit-Evasion with Online Planning in Unknown Environments by Deep Reinforcement Learning☆144Updated 8 months ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆65Updated 3 years ago
- UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D☆107Updated last year
- Graph Reinforcement Learning approach for Multi-Robot Task Allocation.☆37Updated 2 years ago
- A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques.☆15Updated 4 years ago
- A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader ag…☆53Updated 2 years ago