nd009 / qlearning_robotLinks
用 qlearning 算法走迷宫
☆54Updated 7 years ago
Alternatives and similar repositories for qlearning_robot
Users that are interested in qlearning_robot are comparing it to the libraries listed below
Sorting:
- 我的强化学习笔记和学习材料 still updating ... ...☆361Updated last month
- 这是一个学习强化学习基础原理的仓库,主要包括了《深入浅出强化学习原理入门》书中一些例子和课后作业的代码☆266Updated 6 years ago
- Pytorch for Deep Reinforcement Learning☆254Updated 5 years ago
- 白话强化学习与PyTorch的学习笔记☆36Updated 5 years ago
- ☆391Updated 5 years ago
- Practice of Deep Reinforcement Learning with Keras and gym.☆156Updated 6 years ago
- 《深度强化学习:原理与实践》,Code of the book <Deep Reinforcement Learning: Principles and Practices>☆199Updated 6 years ago
- 强化学习-中文笔记&资源-以python实例为主-由浅入深☆107Updated 4 years ago
- 本项目以一个可视化配置的、以AgentRL为核心的强化学习框架,实现30分钟上手AgentRL 编程。后续增加AgentRL和本地Agent、MCP、A2A相关特性。☆77Updated 4 months ago
- 国立台湾大学李宏毅老师讲解的深度强化学习学习笔记☆150Updated 6 years ago
- 多智能体强化学习☆104Updated 6 years ago
- Tutorial for Reinforcement Learning☆190Updated 3 years ago
- ☆29Updated 7 years ago
- ☆20Updated 7 years ago
- Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments☆855Updated 6 years ago
- 《强化学习-原理与Python实现》的Pytorch实现。☆61Updated 4 years ago
- OpenAI团队的深度强化学习教程中文版☆89Updated 2 years ago
- A translation of Reinforcement Learning: An Introduction☆114Updated 7 years ago
- 引用整理https://blog.csdn.net/yellow_red_people/article/details/80465510 一文中PyTorch平台,利用DQN模型玩Flappy Bird游戏,是一个再励学习(强化学习)实验例子。☆50Updated 6 years ago
- Reinforcement-Learning-Notes, start with MDP.☆225Updated 3 years ago
- 1st solution for KDD Cup 2020 (RL track)☆62Updated 5 years ago
- Learning Resources And Links Of Reinforcement Learning (updating)☆285Updated 4 years ago
- 阿里巴巴全球调度算法大赛 - 整数规划(列生成算法)☆19Updated 6 years ago
- [动手学强化学习]系列,基于pytorch。☆59Updated 4 years ago
- reinforcement learning☆51Updated 5 years ago
- Reinforcement Learning Algorithms Based on PyTorch☆21Updated 3 years ago
- 一些利用pytorch编程实现的强化学习例子☆36Updated 6 years ago
- My DRL library with tensorflow1.14 based on openai spinning-up☆63Updated 4 years ago
- ☆23Updated 3 years ago
- 这是中国研究生数学建模大赛的C题,用于解决航班恢复的问题。程序首先建立了飞机,航班,客户,机场四个类用于模拟航班调度环境。之后应用遗传算法寻找最优的航班调度方案☆33Updated 7 years ago