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).
☆513Updated last year
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:
- This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.☆653Updated last year
- Multi/Single UAV(unmanned aerial vehicle) path planning based on deep reinforcement learning☆607Updated 3 months ago
- Deep Reinforcement Learning based Adaptive Real-time Path Planning for UAV☆340Updated 3 years ago
- DQN 无人机 强化学习可视化☆33Updated 8 months ago
- This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.☆485Updated 5 months ago
- Multi-UAV target round-up based on MADDPG☆237Updated 7 months ago
- Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning☆161Updated 2 years ago
- Autonomous UAV navigation using Deep Reinforcement Learning (DQN). The UAV learns to efficiently navigate grid-based environments, avoid …☆12Updated 10 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。☆445Updated 2 years ago
- Obstacle avoidance in UAVs with reinforcement learning (PPO)☆11Updated 3 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。☆70Updated 2 years ago
- A Distributed Adaptive Route Planning Optimization Algorithm for UAV Swarm☆58Updated last year
- An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide …☆132Updated 2 years 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☆495Updated 3 weeks ago
- Python implementation of DDQN multi-UAV data harvesting☆208Updated 3 years ago
- ☆24Updated 4 years ago
- ☆154Updated 7 months ago
- A Benchmark for Multi-UAV Task Allocation of an Extended Team Orienteering Problem☆187Updated 2 years ago
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆107Updated 4 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。☆67Updated 2 years ago
- Multi-agent Combat Arena (UAV swarm vs UAV swarm)☆154Updated 5 years ago
- code for `Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach'☆36Updated last year
- train uav in ue4 and airsim with ddpg☆12Updated 3 years ago
- Multi-UAVs Task Allocation☆85Updated last year
- 本科毕业设计---使用多智能体强化学习的方法完成路径规划任务,要求路径优 化和期间不碰撞,最后可视化整个行动过程☆16Updated 8 months ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆64Updated 2 years ago
- code for `A Hybrid Human-in-the-Loop Deep Reinforcement Learning Method for UAV Motion Planning'☆14Updated last year
- A pursuit-evasion scenario with multiple hunters and targets based on MATD3☆34Updated 7 months ago
- This is a UAV path planning in a map-based environment using double deep Q-Network☆37Updated 2 years ago
- Autonomous UAV Navigation without Collision using Visual Information in Airsim☆271Updated 3 years ago