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데블스캠프2017/강화학습으로컴퓨터에게고전게임플레이시키기: Difference between revisions

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== reference ==
== reference ==
  [https://gist.github.com/Rabierre/e8516f2d4e19f2cc5420b89f6bae77d9 github]
  [https://github.com/Rabierre/cartpole github]
==
==



Revision as of 03:30, 1 July 2017

machine learning

supervised learning

  • 학습을 시킬 때 label에 정답이 있는 것
  • Need input, target
  • Learning from difference between prediction and target
  • e.g. mnist, classification

unsupervised learning

  • label 이 미리 정해져 있지 않은 것
  • Need input
  • Cluster by distance between inputs
  • Can't predict outcome
  • e.g. clustering

reinforcement learning

  • 일종의 unsupervised learning
  • input : environment, reward, output : action
  • Learn from try
  • Model free
  • e.g. game play, stock trading

reinforcement learning

  • Q learning
  • Neural Network
  • DQN : Deep Q Learning

== Basic knowledge

  • MDP : Markov Decision Process
  • Bellman equation
  • Dynamic programming
  • Value, Polish
  • Value function, Polish function
  • Value iteration, Polish iteration

reference

github

==