wangzhuanxing123 / DQN_Maze
通过python3.6编程，利用DQN算法实现机器学习避开障碍走到迷宫终点。（Through python3.6 programming, I use DQN algorithm to achieve machine learning and avoid obstacles to the maze end.）
☆10Updated 7 years ago
Alternatives and similar repositories for DQN_Maze
Users that are interested in DQN_Maze are comparing it to the libraries listed below
Sorting:
- 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 last year
- ☆17Updated 7 years ago
- ☆37Updated 3 years ago
- Code for Deep Reinforcement Learning Based UAV Path Planning Algorithm in Agricultural Time-Constrained Data Collection☆19Updated last year
- 路径规划强化学习☆49Updated 4 years 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…☆27Updated 3 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆62Updated 2 years ago
- 多智能体均匀多边形编队、追逐与合围。☆47Updated 2 years ago
- ☆22Updated 4 years ago
- Research Project on Multi-robot Target Tracking via Deep Reinforcement Learning☆19Updated 4 years ago
- This repository provides the python implementation for the paper "Decentralized Multi-Agent Formation Control via Deep Reinforcement Lear…☆18Updated 3 years ago
- 基于强化学习的游戏空战推演☆13Updated 4 years ago
- 强化学习相关知识的学习，Ｑ学习和SARSA以及后面的DQN，有用到路径规划方面的，也有实际小迷宫的案例☆34Updated 6 years ago
- using actor-critic method to dealing with the path-planning UAV problem☆18Updated 5 years ago
- Use deep Q network to solve maze problem generated randomly, i.e. find the shortest path in a maze☆8Updated 2 years ago
- path coverage algorithm for drones using reinforcement learning☆11Updated 4 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆36Updated 2 years ago
- A Deep Learning Approach to UAV Path Planning☆73Updated 6 years ago
- 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
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆94Updated 3 years ago
- MATLAB implementation of DQN for a navigation environment☆12Updated 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☆48Updated 8 months ago
- Hover a UAV in MATLAB using Deep Reinforcement Learning.☆14Updated last year
- Path Planning for the Robots Using Reinforcement Learning☆35Updated 2 years ago
- learning the weight of each paras in DWA(Dynamic Window Approach) by using DQN(Deep Q-Learning)☆79Updated 6 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆50Updated 6 years ago
- This is a UAV path planning in a map-based environment using double deep Q-Network☆31Updated last year
- 利用深度强化学习的方法实现多智能体间离散无交流的障碍避免。其中强化学习算法训练模型所需的数据集由最优互惠碰撞避免(Optimal Reciprocal Collision Avoidance， ORCA)算法生成。☆83Updated 6 years ago
- Apresentation of a new path planning algorithm fusing RRT and DQN estrategies.☆29Updated 2 years ago
- Path planning of multi-agent-system for UAV use☆16Updated 2 years ago