young-how / DQN-based-UAV-3D_path_planer
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).
☆399Updated 3 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
- This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.☆509Updated last year
- Deep Reinforcement Learning based Adaptive Real-time Path Planning for UAV☆259Updated 3 years ago
- Multi/Single UAV(unmanned aerial vehicle) path planning based on deep reinforcement learning☆199Updated 3 months ago
- DQN 无人机 强化学习可视化☆22Updated last year
- This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.☆309Updated 11 months ago
- Multi-UAV target round-up based on MADDPG☆120Updated last month
- 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☆321Updated 9 months ago
- Multi-UAV Adaptive Path Planning Using Deep Reinforcement Learning☆96Updated last year
- Python implementation of DDQN multi-UAV data harvesting☆173Updated 3 years 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。☆333Updated last year
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆90Updated 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。☆46Updated last year
- ☆128Updated 5 months ago
- This is the source code of "Efficient training techniques for multi-agent reinforcement learning in combatant tasks".☆81Updated 4 years ago
- A Benchmark for Multi-UAV Task Allocation of an Extended Team Orienteering Problem☆157Updated 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
- 基于粒子群算法多无人机任务分配☆129Updated 4 years ago
- Multi-agent Combat Arena (UAV swarm vs UAV swarm)☆120Updated 4 years ago
- Using deep reinforcement learning to train drones to fly autonomously.☆13Updated 3 months ago
- A Distributed Adaptive Route Planning Optimization Algorithm for UAV Swarm☆44Updated 11 months ago
- code for `Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach'☆31Updated 11 months ago
- Mission Planning & Task Allocation - Team A for UAV Swarm Project for BAE Systems UAV Swarm Challenge☆82Updated last year
- gym 框架下的多智能体追逃博弈强化学习平台☆15Updated last year
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆33Updated 2 years ago
- Autonomous Navigation of UAV using Reinforcement Learning algorithms.☆204Updated 5 years ago
- PyTorch implementations of MADDPG, MAPPO (coming)☆127Updated last year
- 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…☆12Updated 11 months ago
- A Deep Learning Approach to UAV Path Planning☆69Updated 6 years ago
- An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide …☆93Updated last year