周克敏的经典鲁棒书籍，可以当字典用， 非常难得

佛罗里达大学电子与计算机工程系教授Sean Meyn撰写的新书稿《强化学习与控制系统》，重点讲述了与强化学习最相关的控制基础，以及基于这些基础的RL算法设计的大量工具。

从虚拟世界走进现实应用，强化学习在阿里的技术演进与业务创新，包括多智能体强化学习的多场景优化、淘宝锦囊推荐系统、风险商品流量调控、虚拟淘宝、阿里小蜜等内容

AI 发展日新月异 , 既单一最强 AI AlphaGo 划时代诞生后 , 通用 AI 也呼之欲出 , 而 AlphaZero 的横空出世 , 证明了通用 AI 这条路的可行性 . 从这一刻起 , 人类历史或将被改写 !

基于深度强化学习的能源互联网智能巡检任务分配机制.pdf

强化学习笔记

文中分析了悬臂梁的振动情况，建立了悬臂梁的动力学系统方程，设计了基于最优模糊控制算法的悬臂梁振动控制系统。系统将采集进来的信号通过最优控制理论计算得到理论输出值，建立拥有最优解的模糊控制规则，使得一个输入得到一个最优的控制输出，从而产生相应的抑制力来减弱梁的振动。使用Matlab对振动控制系统进行了仿真，结果表明该算法能够很好地抑制悬臂梁的振动。

总共178篇，基本涵盖了20年NIps上所有与强化学习相关的文章。 zip压缩包，不要解压密码，261M大小。 看一看顶会论文怎么写的，自己下笔也大概能有个章法，Good Luck！ 勤奋决定天分！

Can You Train a Dog to Sit? If so, You Can Master Reinforcement Learning in No time! Welcome to the world of reinforced learning. This is a world where self-driving cars can be seen on real roads, where programs can beat world champions, where robots are not only a part of futuristic movies. Sound too scientifically involved for your expertise? Don?t worry; reinforcement learning is much more straightforward than you think. You do not need a college degree or to be a world-class developer in order to build a reinforcement learning application. Some rudimentary Python programming skills and a basic knowledge of Machine Learning is all it takes for this book to turn you into an RL expert. By describing the concept of reinforcement learning in a simple, non-technical way, teaching you its elements, applications, and algorithms in the most comprehensive way possible while giving you a great jumping-off point with some amazing Python implementations, this book is a definite must-have for everyone who wants to master this popular branch of AI without drowning in the technical nonsense. Inside this Book You?ll Discover: The elements of reinforcement learning Reiniforcement Learning vs. other learning types Simulated evironments and Policies A guide to Markov Decision Processes Dynamic Programming An exploration of Monte Carlo Methods The secrets to Q Learning And much, much more! If this sounds like a good deal to you, read this book and become a Reinforcement Learning expert in a matter of days.

强化学习经典资料