zhaozijie2022 / dynamic-coverage-controlLinks
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
☆56Updated last year
Alternatives and similar repositories for dynamic-coverage-control
Users that are interested in dynamic-coverage-control are comparing it to the libraries listed below
Sorting:
- An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in ful…☆49Updated last year
- The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous …☆28Updated 2 years ago
- An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide …☆118Updated last year
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆106Updated 3 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆65Updated 2 years ago
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆22Updated 2 years ago
- Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning☆128Updated 2 years ago
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆13Updated 3 years ago
- Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing☆116Updated 3 years ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆98Updated 4 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆37Updated 2 years ago
- UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D☆101Updated last year
- ☆23Updated 4 years ago
- Autonomous UAV navigation using Deep Reinforcement Learning (DQN). The UAV learns to efficiently navigate grid-based environments, avoid …☆11Updated 7 months ago
- Attempt to reproduce and improve the implementation of the paper 'Improving Multi-Target Cooperative Tracking Guidance for UAV Swarms Usi…☆44Updated last year
- This is a work on using meta-reinforcement learning to achieve autonomous target tracking and obstacle avoidance for UAVs☆53Updated last year
- Multi-UAV target round-up based on MADDPG☆193Updated 3 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。☆61Updated 2 years ago
- Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat☆131Updated 5 months ago
- Multi-UAV Pursuit-Evasion with Online Planning in Unknown Environments by Deep Reinforcement Learning☆89Updated 4 months ago
- ☆149Updated 3 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…☆28Updated 4 years ago
- Python implementation of DDQN multi-UAV data harvesting☆194Updated 3 years ago
- POMG algorithm for large-scale pursuit game with partial observation and no communication.☆23Updated 6 months 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
- Reinforcement Learning-based exploration algorithm for a fleet of UAVs in an unknown environment.☆79Updated last year
- ☆31Updated 2 years ago
- Pytorch implementations of the multi-agent reinforcement learning algorithms, including QMIX, VDN, COMA, MADDPG, MATD3, FACMAC and MASoft…☆45Updated 6 months ago
- The deep reinforcement learning method for multi-robot task allocation problem SR-ST-TA☆43Updated 2 years ago
- Multi Agent SAC and DDPG applied to path finding in a 3-dimensional grid☆13Updated 4 years ago