davidweidawang / MARL-UAVs-Targets-TrackingLinks
Attempt to reproduce and improve the implementation of the paper 'Improving Multi-Target Cooperative Tracking Guidance for UAV Swarms Using Multi-Agent Reinforcement Learning'.
☆42Updated last year
Alternatives and similar repositories for MARL-UAVs-Targets-Tracking
Users that are interested in MARL-UAVs-Targets-Tracking are comparing it to the libraries listed below
Sorting:
- The Reinforce Learning Environment on the multi-agent pursuit problem in a two-dimensional space. The environment depends on tensorflow, …☆9Updated last year
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆101Updated 3 years ago
- Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning☆115Updated 2 years ago
- ☆23Updated 4 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☆51Updated 10 months ago
- Multi-agent RL algorithms are applied to large-scale cooperative target searching mission☆36Updated 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。☆57Updated 2 years ago
- Multi UAV navigation using Deep Reinforcement Learning within a Multi TSP☆10Updated 7 months ago
- Multi agent scalable reinforcement learning for formation control with collision avoidance☆39Updated 7 months ago
- Multi-agent Combat Arena (UAV swarm vs UAV swarm)☆137Updated 4 years ago
- An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in ful…☆46Updated 10 months ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆64Updated 2 years ago
- UAVGym是一个用python编写的GYM风格的无人机仿真环境，用于强化学习算法的研究。☆59Updated last year
- MBaranPeker / Pursuit-Evasion-Game-with-Deep-Reinforcement-Learning-in-an-environment-with-an-obstacleIn this study, a multi agent chase-escape problem using Deep Q learning. Actors of the problem are smart evader and smart pursuers with o…☆23Updated 2 years ago
- Multi-UAV target round-up based on MADDPG☆178Updated last month
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆37Updated 2 years ago
- The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous …☆27Updated last year
- A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader ag…☆49Updated 2 years ago
- ☆18Updated last year
- The python code is provided for distribution-auction algorithm with connected networks and federal topology networks.☆10Updated last year
- path coverage algorithm for drones using reinforcement learning☆12Updated 4 years ago
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆22Updated 2 years ago
- An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide …☆110Updated last year
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆93Updated 4 years ago
- A Deep Learning Approach to UAV Path Planning☆74Updated 6 years ago
- This is a work on using meta-reinforcement learning to achieve autonomous target tracking and obstacle avoidance for UAVs☆46Updated 10 months ago
- ☆39Updated 3 years ago
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆13Updated 3 years ago
- UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D☆99Updated last year
- Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat☆119Updated 3 months ago