young-how / DQN-based-UAV-3D_path_planerLinks
RLGF is a general training framework suitable for UAV deep reinforcement learning tasks. And integrates multiple mainstream deep reinforcement learning algorithms(SAC, DQN, DDQN, PPO, Dueling DQN, DDPG).
☆472Updated 9 months ago
Alternatives and similar repositories for DQN-based-UAV-3D_path_planer
Users that are interested in DQN-based-UAV-3D_path_planer are comparing it to the libraries listed below
Sorting:
- Multi/Single UAV(unmanned aerial vehicle) path planning based on deep reinforcement learning☆422Updated 2 months ago
- This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.☆587Updated last year
- Deep Reinforcement Learning based Adaptive Real-time Path Planning for UAV☆311Updated 3 years ago
- Multi-UAV target round-up based on MADDPG☆188Updated 3 months ago
- DQN 无人机 强化学习可视化☆28Updated 4 months ago
- 深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真模拟，Adaptive-SAC☆417Updated last year
- 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。☆61Updated last year
- This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.☆404Updated last month
- Autonomous UAV navigation using Deep Reinforcement Learning (DQN). The UAV learns to efficiently navigate grid-based environments, avoid …☆11Updated 6 months ago
- Python implementation of DDQN multi-UAV data harvesting☆194Updated 3 years ago
- AI4IS / Multi-Dimensional-Decision-Making-for-UAV-Air-Combat-Based-on-Hierarchical-Reinforcement-LearningThis project is the partially open source code of EI thesis Multi-Dimensional Decision-Making for UAV Air Combat Based on Hierarchical Re…☆20Updated last year
- Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning☆124Updated 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。☆60Updated 2 years ago
- Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat☆128Updated 4 months ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆97Updated 4 years ago
- ☆23Updated 4 years ago
- An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide …☆114Updated last year
- ☆149Updated 3 months ago
- 毕业设计的代码部分，实现了UE4和airsim环境下无人机自主导航和目标跟踪的强化学习算法。☆393Updated last year
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆64Updated 2 years ago
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆103Updated 3 years ago
- An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in ful…☆48Updated last year
- A Distributed Adaptive Route Planning Optimization Algorithm for UAV Swarm☆52Updated last year
- ☆31Updated 2 years ago
- A pursuit-evasion scenario with multiple hunters and targets based on MATD3☆18Updated 3 months ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆168Updated last year
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆37Updated 2 years ago
- Multi-agent Combat Arena (UAV swarm vs UAV swarm)☆143Updated 4 years ago
- gym 框架下的多智能体追逃博弈强化学习平台☆15Updated 2 years ago
- A Benchmark for Multi-UAV Task Allocation of an Extended Team Orienteering Problem☆174Updated 2 years ago