Human level control through deep reinforcement learning Naiyan Wang

P 1 art Q Learning

Q Learning S A R tate ction eward

Q Learning Learning Rate Discount Factor New State Old State Reward

P 2 art Deep Q Learning

Traditional Cooking

Traditional Cooking

Traditional Cooking

Traditional Cooking

Traditional Cooking

End to End Cooking

End to End Learning

Formulation 1 2 3 Target Variable

Results Analysis DQN is good at … DQN is bad at …

P 3 art Discussion

Discussion Q: What is the key contributing factor? A: Almost unlimited training data Q: How to account for long term dependency ? A: Long short term memory may be the solution

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