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RLfrombasics

ch5. Model-free Prediction

  • ch5_MCLearning.py : monte-carlo 학습방법론
  • ch5_TDLearning.py : time-difference 학습방법론

ch6. Model-free Control

  • ch6_MCControl.py : monte-carlo control
  • ch6_SARSA.py : on-policy TD control - SARSA
  • ch6_QLearning.py : off-policy TD control - QLearning

ch7. Deep RL

  • ch7_CosineFitting.py : Neural Network 기초

ch8. Value-based Agent

  • ch8_replaybuffer.py : replaybuffer technique
  • ch8_DQN.py : Deep Q-Learning (Value network)
  • ch8_DQN_main.py : 메인 함수 (600번의 에피소드)

ch9. Policy-based Agent

  • ch9_REINFORCE.py : REINFORCE algorithm (Policy network)
  • ch9_REINFORCE_main.py : 메인 함수 (2000번의 에피소드)
  • ch9_ActorCritic.py : TD ActorCritic (Value + Policy network)
  • ch9_ActorCritic_main.py : 메인 함수 (1000번의 에피소드)

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