DamianoBrunori / DAMIAN-Delay-Aware-MultI-Aerial-Navigation-DRL-based-environment-
An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in fully customizable scenarios (e.g., coverage maximization, tracking, spotting).
☆39Updated 6 months ago
Alternatives and similar repositories for DAMIAN-Delay-Aware-MultI-Aerial-Navigation-DRL-based-environment-:
Users that are interested in DAMIAN-Delay-Aware-MultI-Aerial-Navigation-DRL-based-environment- are comparing it to the libraries listed below
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆90Updated 3 years ago
- The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous …☆19Updated 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☆48Updated 6 months ago
- An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide …☆89Updated last year
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆17Updated 2 years ago
- Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning☆95Updated last year
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆7Updated 2 years ago
- ☆21Updated 3 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆61Updated 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。☆47Updated last year
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆33Updated 2 years ago
- ☆32Updated 3 years ago
- Code for Deep Reinforcement Learning Based UAV Path Planning Algorithm in Agricultural Time-Constrained Data Collection☆18Updated last year
- Multi-UAV target round-up based on MADDPG☆119Updated last month
- code for `Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach'☆31Updated 11 months ago
- Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing☆95Updated 2 years ago
- An Gym based enviroment to evaluate Multi Uav Task Alocation Algorithm☆11Updated last year
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆77Updated 4 years ago
- An optimized DDPG algorithm for autonomous path planning of UAV in network-unavailable environment☆37Updated 2 years ago
- This is a work on using meta-reinforcement learning to achieve autonomous target tracking and obstacle avoidance for UAVs☆35Updated 6 months ago
- Pytorch implementations of the multi-agent reinforcement learning algorithms, including QMIX, VDN, COMA, MADDPG, MATD3, FACMAC and MASoft…☆31Updated last week
- Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator☆11Updated 2 years ago
- Multi-UAV Pursuit-Evasion with Online Planning in Unknown Environments by Deep Reinforcement Learning☆47Updated 2 weeks ago
- ☆14Updated last year
- This is a UAV path planning in a map-based environment using double deep Q-Network☆25Updated last year
- ☆29Updated last year
- Attempt to reproduce and improve the implementation of the paper 'Improving Multi-Target Cooperative Tracking Guidance for UAV Swarms Usi…☆33Updated 9 months ago
- This is an implementation of the paper Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage by Huy Xuan Pham, …☆19Updated 4 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…☆27Updated 3 years ago