wangzhuanxing123 / DQN_MazeLinks
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:
- Real time image capture+DQN path planning☆10Updated 2 years ago
- MATLAB implementation of DQN for a navigation environment☆14Updated 5 years ago
- The source code is the entry for 2022 EUROCONTROL Air Transport Innovation Network Innovation Masterclass. The reinforcement learning mod…☆16Updated 3 years ago
- ☆18Updated 7 years ago
- ☆10Updated 3 years ago
- Deep Q Network for Multi-agent RL☆15Updated 4 years ago
- Optimization of vehicle routing problem by deep reinforcement learning method based on residual edge-graph attention network☆12Updated 9 months ago
- 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…☆25Updated 2 years ago
- DQN by Matlab and Python☆31Updated 5 years ago
- Deep Reinforcement Learning based Autonomous Driving Agents☆10Updated 3 years ago
- ☆14Updated 4 years ago
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆21Updated 2 years ago
- Code for paper: Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving.☆27Updated 2 years ago
- Dueling DQN Pytorch☆13Updated 3 years ago
- 路径规划强化学习☆54Updated 5 years ago
- Here is our algorithm for Pursuit Problem based on the Distributed Reinforcement Learning for Cooperative Multi-robot Pursuit☆10Updated 6 years ago
- ☆38Updated 3 years ago
- Deep Q-Network (DQN) reinforcement learning agent for fixed-wing aircraft obstacle avoidance☆11Updated 6 years ago
- Multiagent Trajectory Optimization for UAVs using Sequential Convex Programming☆11Updated last year
- DQN related algorithms☆10Updated 2 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆52Updated 6 years ago
- code of 《A Reinforcement Learning Optimization Framework for UAV Positioning Information Assisted IoT Data Collection》☆13Updated 10 months 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…☆28Updated 4 years ago
- learning the weight of each paras in DWA(Dynamic Window Approach) by using DQN(Deep Q-Learning)☆80Updated 7 years ago
- Pytorch Implement DRL algorithms (A2C, DDPG, PPO, TD3, SAC) for continuous action space control tasks.☆19Updated 5 years ago
- ☆11Updated 3 years ago
- planning trajectories for UAVs☆11Updated 4 years ago
- Implementation of Reinforcement learning using Q learning algorithm- Robot in Maze - Matlab☆28Updated 5 years ago
- ☆43Updated 3 years ago
- Combination of RL and game theory for modeling human behavior☆11Updated 4 years ago