데블스캠프2017/강화학습으로컴퓨터에게고전게임플레이시키기

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

실습

numpy, gym, tensorflow 필요

• cartpole_init.py
• cartpole_random.py
• cartpole.py
• cartpole_dqn.pyn

reference

• 발표 슬라이드: slide
• 코드: github

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