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.
☆14Updated last year
Alternatives and similar repositories for HTransRL
Users that are interested in HTransRL are comparing it to the libraries listed below
Sorting:
- Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing☆122Updated 3 years ago
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆23Updated 3 years ago
- The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous …☆30Updated 2 years ago
- using actor-critic method to dealing with the path-planning UAV problem☆20Updated 6 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☆64Updated last month
- This code is for the paper titled Path Planning for the Dynamic UAV-aided Wireless Systems Using Monte Carlo Tree Search, which is under…☆30Updated 4 years ago
- An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in ful…☆53Updated last month
- This is a work on using meta-reinforcement learning to achieve autonomous target tracking and obstacle avoidance for UAVs☆55Updated last year
- Code for RAL 2024: Heterogeneous Multi-robot Task Allocation and Scheduling via Reinforcement Learning.☆36Updated 9 months ago
- An Gym based enviroment to evaluate Multi Uav Task Alocation Algorithm☆12Updated last year
- 强化学习大作业☆22Updated last year
- Attempt to reproduce and improve the implementation of the paper 'Improving Multi-Target Cooperative Tracking Guidance for UAV Swarms Usi…☆52Updated last year
- Code for ICRA2024 Paper: Dynamic Coalition Formation and Routing for Multirobot Task Allocation via Reinforcement Learning.☆35Updated last year
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆106Updated 4 years ago
- ☆23Updated 2 years ago
- [EAAI] A two-stage reinforcement learning-based approach for multi-entity task allocation.☆26Updated last year
- Multi-UAV Pursuit-Evasion with Online Planning in Unknown Environments by Deep Reinforcement Learning☆117Updated 5 months ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.☆40Updated 2 years ago
- A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques.☆15Updated 4 years ago
- ☆152Updated 5 months 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
- ☆29Updated 2 years ago
- This is an implementation of the paper Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage by Huy Xuan Pham, …☆20Updated 5 years ago
- Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning☆151Updated 2 years ago
- Researching new methods to leverage DeepRL for Coverage and Path Planning☆19Updated 9 months ago
- Deep reinforcement learning☆48Updated 3 years ago
- This model provides a robust task allocation method by dynamically adjusting Voronoi boundaries to adapt to changes in tasks and environm…☆12Updated 9 months ago
- A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader ag…☆52Updated 2 years ago
- 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。☆66Updated 2 years ago
- Reinforcement Learning for quadrotor trajectory planning and control☆63Updated 2 years ago