img

AI强化学习自动规划科研必备书籍

列举一些入门强化学习自动规划的相关书籍,经典的如《Reinforcement Learning - An Introduction》新旧两版,更偏数学性的《Algorithms for reinforcement learning》;重要的最新相关的书籍《Deep Learning 2016》;一些关键的数学基础书籍《Fundamentals of Linear Algebra and Optimization》《Introduction to Statistical Learning Theory》《Measure Theory and Probability Theory》

共10个

Reinforcement Learning - An Introduction (原版,非HTML打印)
Reinforcement Learning state of the art
Deep Learning 2016
Introduction to Statistical Learning Theory
Fundamentals of Linear Algebra and Optimization 2017
Algorithms for reinforcement learning
Reinforcement Learning - An Introduction 2nd (final draft Nov 5 2017)
Statistical Reinforcement Learning - Modern Machine Learning Approaches
Measure Theory and Probability Theory
Stochastic Recursive Algorithms for Optimization