强化学习|CS294-112 Deep Reinforcement Learning Sp17

强化学习

CS294-112 Deep Reinforcement Learning Sp17

prerequisites

Jan 30-Learning dynamical system models from data Levine

Jan 27 -Review section autodiff backpropagation optimization Finn

Jan 25-Optimal control and planning Levine

Jan 23-Supervised learning and decision making Levine

Jan 18-Introduction and course overview

Feb 8-RL definitions value iteration policy iteration Schulman

Feb 6-Guest lecture-Igor Mordatch OpenAI

Feb 15-Learning Q-functions Q-learning SARSA and others Schulman

Feb 13-Reinforcement learning with policy gradients Schulman

Feb 1-Learning policies by imitating optimal controllers Levine

CS294-131-02-27.mp4 177.7MB

CS294-112-04-26.mp4 36.3MB

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CS294-112-02-27.mp4 297.9MB

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CS294-112-02-15.mp4 248.1MB

CS294-112-02-15未校正.srt 0.1MB

CS294-112-02-13.mp4 187.7MB

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CS294-112-02-08.mp4 132.9MB

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CS294-112-02-06.mp4 234.4MB

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CS294-112-01-18.mp4 227.9MB

CS 294-112-04-05.mp4 336.0MB

Lecture 9 Markov Decision Processes II.srt 0.1MB

Lecture 9 Markov Decision Processes II.mp4 120.9MB

Lecture 8 MDPs I.srt 0.1MB

Lecture 8 MDPs I.mp4 120.1MB