GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Этотпроектдемонстрируетобучениесподкреплением (Reinforcement Learning) напримерезадачи CartPole избиблиотеки Gym. Впроектеиспользуютсядваподхода: Q-обучение...
【论文2】The Quantum Cartpole: A benchmark environment for non-linear reinforcement learning 研究方法...
https://github.com/wwxFromTju/awesome-reinforcement-learning-zh 2018-11-10: 1.加入OpenAI的spinningup 2. 加入中国台湾大学李宏毅的课 3. 加入 UCL 汪军老师 与 SJTU 张伟楠 老师 在 SJTU 做的 Multi-Agent Reinforcement Learning Tutorial 4. update UCB 与 CMU的DRL课到2018 fall 5. update Sutto...
首先在github上进行搜寻,如下图: 发现第一个星数最多,而且远高于其它的项目,于是拉取这个链接: https://github.com/devsisters/DQN-tensorflow 本篇博客主要是讲解一下该代码运行环境的如何搭建,采用 conda 配置。 首先看下 README 上的内容, 主要是requirement最重要: ...
多智能体强化学习:基础与现代方法(Multi-Agent Reinforcement Learning: Foundations and Modern Approaches) 数智博弈 I DIG U 来自专栏 · 生成式博弈与决策 37 人赞同了该文章 目录 收起 2024年12月10日发布预印版 一、作者简介 二、研究领域 三、书籍简介 目录: 书籍下载地址: 相关代码Github地址: 2023...
Benchmark the different Reinforcement Learning algorithms Provide tuned hyperparameters for each environment and RL algorithm Have fun with the trained agents! Github repo:https://github.com/DLR-RM/rl-baselines3-zoo Documentation:https://stable-baselines3.readthedocs.io/en/master/guide/rl_zoo.html ...
github导入代码 原网址 https://github.com/grant81/MinMaxQLearning 代码实现论文 Littman, Michael L. “Markov Games as a Framework for Multi-Agent Reinforcement Learning.” In Machine Learning Proceedings 1994, edited by William W. Cohen and Haym Hirsh, 15
书Reinforcement Learning: An Introduction Richard Sutton and Andrew Barto, Reinforcement Learning: An Introduction update 第二版的最终版(点击obline draft):link,因为官方的是放在google doc上,所以我就下载了一个放在github上,需要自取link 注:已经可以准备买实体书了,和同学各自海淘了一本,还没有到手 -- 国...
GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.