DamianoBrunori / MultiUAV-OpenAIGym
An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide smart services.
☆64Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for MultiUAV-OpenAIGym
- An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in ful…☆28Updated 2 months ago
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆81Updated 3 years ago
- Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning☆72Updated last year
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆10Updated 2 years ago
- An Gym based enviroment to evaluate Multi Uav Task Alocation Algorithm☆11Updated 9 months ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆68Updated 4 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆50Updated last year
- 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☆40Updated 2 months 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。☆37Updated last year
- The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous …☆16Updated last year
- ☆21Updated 2 years ago
- A Deep Learning Approach to UAV Path Planning☆62Updated 6 years ago
- using actor-critic method to dealing with the path-planning UAV problem☆16Updated 5 years ago
- ☆34Updated 2 years ago
- ☆17Updated 3 years ago
- Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator☆10Updated 2 years ago
- Python implementation of DDQN multi-UAV data harvesting☆158Updated 2 years ago
- [JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach☆88Updated 8 months 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…☆25Updated 3 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆28Updated 2 years ago
- Multi-UAV target round-up based on MADDPG☆35Updated 3 weeks ago
- A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning…☆61Updated 3 years ago
- 采用DDQN算法进行二维网格无人机的数据收集DH（多智能体）和区域覆盖CPP（单智能体）的算法，深度学习框架采用pytorch☆21Updated last year
- AlirezaShamsoshoara / Multi-Independent-Agent-Reinforcement-Learning-UAV-Autonomous-Spectrum-QLearningAn Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent…☆61Updated 3 years ago
- UAV path planning based deep reinforcement learning☆23Updated last month
- The objectives is to maximize the coverage rate in a specific area.☆16Updated 3 years ago
- An optimized DDPG algorithm for autonomous path planning of UAV in network-unavailable environment☆29Updated 2 years ago
- This is a work on using meta-reinforcement learning to achieve autonomous target tracking and obstacle avoidance for UAVs☆27Updated 2 months ago
- ☆28Updated 3 years ago
- ☆14Updated 3 years ago