文件名称：Reinforcement Learning with Python_Master Reinforcemearning in Python
文件大小：463KB
文件格式：PDF
更新时间：2021-04-24 10:22:01
Reinforce Python machine learning
Table of Contents: INTRODUCTION UNDERSTANDING REINFORCEMENT LEARNING THE ELEMENTS REINFORCEMENT LEARNING VS OTHER MACHINE LEARNING TYPES RLAPPLICATIONS THE SIMULATED ENVIRONMENT THE POLICY POLICY SEARCH Hardcoding a Simple Policy NEURAL NETWORK POLICIES POLICY GRADIENTS MARKOV DECISION PROCESSES DYNAMIC PROGRAMMING MONTE CARLO METHODS TEMPORAL DIFFERENCE LEARNING Q LEARNING CONCLUSION