ml-N
  • Introduction
  • Theory
    • Reinforcement Learning
      • Preface
      • Basic Conceptions
      • Multi-armed Bandits
      • Finite Markov Decision Processes
      • Dynamic Programming
    • Conception
    • IO
    • Architecture
    • Awesome Ideas
  • Tools
    • Caffe
      • Summary
      • Tips
      • Issues
    • Tensorflow
      • Tips
  • Applications
    • Object Detection
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  1. Theory
  2. Reinforcement Learning

Preface

This chapter is mainly organised according to Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto.

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Last updated 6 years ago