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 4 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
- Use deep Q network to solve maze problem generated randomly, i.e. find the shortest path in a maze☆8Updated 2 years ago
- ☆18Updated 7 years ago
- Deep Q Network for Multi-agent RL☆15Updated 4 years 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…☆24Updated 2 years ago
- Optimization of vehicle routing problem by deep reinforcement learning method based on residual edge-graph attention network☆11Updated 7 months ago
- DQN by Matlab and Python☆31Updated 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
- Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents☆9Updated 3 years ago
- ☆10Updated 3 years ago
- Deep Reinforcement Learning based Autonomous Driving Agents☆10Updated 3 years ago
- ☆38Updated 3 years ago
- shouyuantianxia / Algorithmic-Game-Theory-Application-on-Multi-agent-Combat-and-Verification-Platform-Design本科毕业设计:《多智能体博弈兵棋推演理论与验证平台设计》的源代码附录内容。强化学习算法的实现上参考了周沫凡先生的开源代码https://github.com/MorvanZhou/Reinforcement-learning-with-tensorflow☆57Updated 5 years ago
- Multi-agent RL algorithms are applied to large-scale cooperative target searching mission☆36Updated 2 years ago
- ☆43Updated 3 years ago
- A Deep Q-Network trained to safely guide the autonomous car to cross a 4-way intersection in a complex traffic environment.☆9Updated 4 years ago
- 路径规划强化学习☆53Updated 4 years ago
- using actor-critic method to dealing with the path-planning UAV problem☆19Updated 6 years ago
- Code for paper: Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving.☆24Updated 2 years ago
- UAV trajectory design (DQN)☆20Updated 3 years ago
- UAV path planning for data gathering using reinforcement learning, i.e. Q-learning.☆9Updated 2 years ago
- UAV PATH TRACKING AND DYNAMIC AVOIDANCE BASED ON ADS-B AND DEEP REINFORCEMENT LEARNING for Univerisity of Bristol RP3 final☆11Updated 2 years ago
- ☆14Updated 4 years ago
- ☆8Updated 3 years ago
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆20Updated 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 8 months ago
- Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.☆13Updated 2 years ago