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1. Approximation Intro.mp4
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MP4
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6.5 MB
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1. Approximation Intro.vtt
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VTT
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7.3 KB
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1. Gridworld.mp4
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MP4
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3.4 MB
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1. Gridworld.vtt
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VTT
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3.7 KB
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1. Intro to Dynamic Programming and Iterative Policy Evaluation.mp4
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MP4
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4.8 MB
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1. Intro to Dynamic Programming and Iterative Policy Evaluation.vtt
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VTT
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4.9 KB
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1. Introduction.mp4
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MP4
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34.2 MB
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1. Introduction.vtt
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VTT
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3.9 KB
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1. Monte Carlo Intro.mp4
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MP4
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5 MB
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1. Monte Carlo Intro.vtt
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VTT
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5.4 KB
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1. Naive Solution to Tic-Tac-Toe.mp4
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MP4
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6.1 MB
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1. Naive Solution to Tic-Tac-Toe.vtt
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VTT
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6.6 KB
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1. Problem Setup and The Explore-Exploit Dilemma.mp4
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MP4
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6.5 MB
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1. Problem Setup and The Explore-Exploit Dilemma.vtt
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VTT
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7.1 KB
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1. Temporal Difference Intro.mp4
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MP4
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2.7 MB
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1. Temporal Difference Intro.vtt
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VTT
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3.1 KB
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1. What is Reinforcement Learning.mp4
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MP4
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54.6 MB
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1. What is Reinforcement Learning.vtt
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VTT
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42.9 MB
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1. What is the Appendix.mp4
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MP4
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5.5 MB
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1. What is the Appendix.vtt
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VTT
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3.4 KB
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10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4
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MP4
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10.6 MB
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10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.vtt
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VTT
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5.5 KB
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10. Tic Tac Toe Code Main Loop and Demo.mp4
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MP4
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9.4 MB
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10. Tic Tac Toe Code Main Loop and Demo.vtt
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VTT
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8.4 KB
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10. Value Iteration in Code.mp4
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MP4
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4.9 MB
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10. Value Iteration in Code.vtt
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VTT
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3 KB
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10. What order should I take your courses in (part 1).mp4
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MP4
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29.3 MB
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10. What order should I take your courses in (part 1).vtt
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VTT
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15.2 KB
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11. Dynamic Programming Summary.mp4
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MP4
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8.3 MB
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11. Dynamic Programming Summary.vtt
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VTT
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8.6 KB
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11. Nonstationary Bandits.mp4
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MP4
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7.5 MB
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11. Nonstationary Bandits.vtt
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VTT
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7.1 KB
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11. Tic Tac Toe Summary.mp4
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MP4
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8.3 MB
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11. Tic Tac Toe Summary.vtt
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VTT
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9.3 KB
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11. What order should I take your courses in (part 2).mp4
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MP4
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37.6 MB
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11. What order should I take your courses in (part 2).vtt
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VTT
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22.3 KB
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12. Tic Tac Toe Exercise.mp4
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MP4
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19.8 MB
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12. Tic Tac Toe Exercise.vtt
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VTT
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4 KB
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12. Where to get discount coupons and FREE deep learning material.mp4
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MP4
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4 MB
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12. Where to get discount coupons and FREE deep learning material.vtt
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VTT
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3.3 KB
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2. Applications of the Explore-Exploit Dilemma.mp4
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MP4
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51.2 MB
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2. Applications of the Explore-Exploit Dilemma.vtt
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VTT
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10.3 KB
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2. Components of a Reinforcement Learning System.mp4
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MP4
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12.7 MB
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2. Components of a Reinforcement Learning System.vtt
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VTT
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13.4 KB
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2. Gridworld in Code.mp4
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MP4
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11.5 MB
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2. Gridworld in Code.vtt
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VTT
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10 KB
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2. Linear Models for Reinforcement Learning.mp4
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MP4
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6.5 MB
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2. Linear Models for Reinforcement Learning.vtt
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VTT
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6.8 KB
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2. Monte Carlo Policy Evaluation.mp4
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MP4
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8.8 MB
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2. Monte Carlo Policy Evaluation.vtt
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VTT
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9.8 KB
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2. On Unusual or Unexpected Strategies of RL.mp4
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MP4
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37.1 MB
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2. On Unusual or Unexpected Strategies of RL.vtt
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VTT
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7.5 KB
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2. TD(0) Prediction.mp4
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MP4
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5.8 MB
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2. TD(0) Prediction.vtt
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VTT
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5.8 KB
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2. The Markov Property.mp4
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MP4
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7.2 MB
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2. The Markov Property.vtt
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VTT
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7.7 KB
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2. Where to get the Code.mp4
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MP4
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4.5 MB
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2. Where to get the Code.vtt
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VTT
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4.9 KB
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2. Windows-Focused Environment Setup 2018.mp4
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MP4
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186.4 MB
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2. Windows-Focused Environment Setup 2018.vtt
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VTT
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18.9 KB
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3. Course Outline.mp4
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MP4
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31 MB
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3. Course Outline.vtt
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VTT
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6.1 KB
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3. Defining and Formalizing the MDP.mp4
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MP4
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6.6 MB
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3. Defining and Formalizing the MDP.vtt
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VTT
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7.2 KB
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3. Designing Your RL Program.mp4
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MP4
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22.3 MB
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3. Designing Your RL Program.vtt
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VTT
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6.2 KB
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3. Epsilon-Greedy.mp4
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MP4
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2.8 MB
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3. Epsilon-Greedy.vtt
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VTT
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2.9 KB
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3. Features.mp4
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MP4
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6.2 MB
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3. Features.vtt
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VTT
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6.3 KB
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3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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MP4
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43.9 MB
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3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
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VTT
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16.6 KB
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3. Monte Carlo Policy Evaluation in Code.mp4
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MP4
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7.9 MB
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3. Monte Carlo Policy Evaluation in Code.vtt
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VTT
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5.6 KB
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3. Notes on Assigning Rewards.mp4
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MP4
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4.2 MB
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3. Notes on Assigning Rewards.vtt
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VTT
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4.5 KB
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3. Strategy for Passing the Course.mp4
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MP4
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9.5 MB
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3. Strategy for Passing the Course.vtt
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VTT
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10.7 KB
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3. TD(0) Prediction in Code.mp4
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MP4
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5.3 MB
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3. TD(0) Prediction in Code.vtt
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VTT
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3.6 KB
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4. Defining Some Terms.mp4
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MP4
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42.3 MB
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4. Defining Some Terms.vtt
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VTT
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8.7 KB
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4. Future Rewards.mp4
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MP4
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5.2 MB
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4. Future Rewards.vtt
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VTT
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5.5 KB
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4. How to Code by Yourself (part 1).mp4
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MP4
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24.5 MB
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4. How to Code by Yourself (part 1).vtt
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VTT
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27.3 KB
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4. Iterative Policy Evaluation in Code.mp4
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MP4
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12.1 MB
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4. Iterative Policy Evaluation in Code.vtt
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VTT
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9.3 KB
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4. Monte Carlo Prediction with Approximation.mp4
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MP4
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2.8 MB
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4. Monte Carlo Prediction with Approximation.vtt
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VTT
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2.2 KB
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4. Policy Evaluation in Windy Gridworld.mp4
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MP4
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7.8 MB
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4. Policy Evaluation in Windy Gridworld.vtt
|
VTT
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4.9 KB
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4. SARSA.mp4
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MP4
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8.2 MB
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4. SARSA.vtt
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VTT
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8.9 KB
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4. The Value Function and Your First Reinforcement Learning Algorithm.mp4
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MP4
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103.7 MB
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4. The Value Function and Your First Reinforcement Learning Algorithm.vtt
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VTT
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21.7 KB
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4. Updating a Sample Mean.mp4
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MP4
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2.2 MB
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4. Updating a Sample Mean.vtt
|
VTT
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2 KB
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5. Designing Your Bandit Program.mp4
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MP4
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24.5 MB
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5. Designing Your Bandit Program.vtt
|
VTT
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5.4 KB
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5. How to Code by Yourself (part 2).mp4
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MP4
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14.8 MB
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5. How to Code by Yourself (part 2).vtt
|
VTT
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16.7 KB
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5. Monte Carlo Control.mp4
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MP4
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9.3 MB
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5. Monte Carlo Control.vtt
|
VTT
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9.3 KB
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5. Monte Carlo Prediction with Approximation in Code.mp4
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MP4
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6.6 MB
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5. Monte Carlo Prediction with Approximation in Code.vtt
|
VTT
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3.7 KB
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5. Policy Improvement.mp4
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MP4
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4.5 MB
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5. Policy Improvement.vtt
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VTT
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4.7 KB
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5. SARSA in Code.mp4
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MP4
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8.8 MB
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5. SARSA in Code.vtt
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VTT
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5 KB
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5. Tic Tac Toe Code Outline.mp4
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MP4
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5 MB
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5. Tic Tac Toe Code Outline.vtt
|
VTT
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5.9 KB
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5. Value Function Introduction.mp4
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MP4
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19.7 MB
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5. Value Function Introduction.vtt
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VTT
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14.5 KB
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6. Comparing Different Epsilons.mp4
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MP4
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8 MB
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6. Comparing Different Epsilons.vtt
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VTT
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4.9 KB
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6. How to Succeed in this Course (Long Version).mp4
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MP4
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18.3 MB
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6. How to Succeed in this Course (Long Version).vtt
|
VTT
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13.7 KB
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6. Monte Carlo Control in Code.mp4
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MP4
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10.2 MB
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6. Monte Carlo Control in Code.vtt
|
VTT
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5.3 KB
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6. Policy Iteration.mp4
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MP4
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3.1 MB
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6. Policy Iteration.vtt
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VTT
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3.2 KB
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6. Q Learning.mp4
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MP4
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4.8 MB
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6. Q Learning.vtt
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VTT
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5.4 KB
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6. TD(0) Semi-Gradient Prediction.mp4
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MP4
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8.4 MB
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6. TD(0) Semi-Gradient Prediction.vtt
|
VTT
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5.8 KB
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6. Tic Tac Toe Code Representing States.mp4
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MP4
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4.4 MB
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6. Tic Tac Toe Code Representing States.vtt
|
VTT
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4.5 KB
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6. Value Functions.mp4
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MP4
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8.3 MB
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6. Value Functions.vtt
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VTT
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11 KB
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7. Bellman Examples.mp4
|
MP4
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87.1 MB
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7. Bellman Examples.vtt
|
VTT
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25.8 KB
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7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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MP4
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39 MB
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7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
|
VTT
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29.9 KB
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7. Monte Carlo Control without Exploring Starts.mp4
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MP4
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4.6 MB
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7. Monte Carlo Control without Exploring Starts.vtt
|
VTT
|
5 KB
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7. Optimistic Initial Values.mp4
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MP4
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5.1 MB
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7. Optimistic Initial Values.vtt
|
VTT
|
3 KB
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7. Policy Iteration in Code.mp4
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MP4
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7.6 MB
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7. Policy Iteration in Code.vtt
|
VTT
|
5.6 KB
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7. Q Learning in Code.mp4
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MP4
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5.4 MB
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7. Q Learning in Code.vtt
|
VTT
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3.1 KB
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7. Semi-Gradient SARSA.mp4
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MP4
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4.7 MB
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7. Semi-Gradient SARSA.vtt
|
VTT
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5 KB
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7. Tic Tac Toe Code Enumerating States Recursively.mp4
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MP4
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9.8 MB
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7. Tic Tac Toe Code Enumerating States Recursively.vtt
|
VTT
|
10.3 KB
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8. Monte Carlo Control without Exploring Starts in Code.mp4
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MP4
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8.1 MB
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8. Monte Carlo Control without Exploring Starts in Code.vtt
|
VTT
|
3.3 KB
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8. Optimal Policy and Optimal Value Function.mp4
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MP4
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3.2 MB
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8. Optimal Policy and Optimal Value Function.vtt
|
VTT
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4.7 KB
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8. Policy Iteration in Windy Gridworld.mp4
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MP4
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9.1 MB
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8. Policy Iteration in Windy Gridworld.vtt
|
VTT
|
7.5 KB
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8. Proof that using Jupyter Notebook is the same as not using it.mp4
|
MP4
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78.3 MB
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8. Proof that using Jupyter Notebook is the same as not using it.vtt
|
VTT
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13.2 KB
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8. Semi-Gradient SARSA in Code.mp4
|
MP4
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10.6 MB
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8. Semi-Gradient SARSA in Code.vtt
|
VTT
|
4.9 KB
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8. TD Summary.mp4
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MP4
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3.9 MB
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8. TD Summary.vtt
|
VTT
|
4.3 KB
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8. Tic Tac Toe Code The Environment.mp4
|
MP4
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10 MB
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8. Tic Tac Toe Code The Environment.vtt
|
VTT
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10.9 KB
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8. UCB1.mp4
|
MP4
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8.2 MB
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8. UCB1.vtt
|
VTT
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7.4 KB
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9. Bayesian Thompson Sampling.mp4
|
MP4
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51.8 MB
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9. Bayesian Thompson Sampling.vtt
|
VTT
|
11 KB
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9. Course Summary and Next Steps.mp4
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MP4
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13.2 MB
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9. Course Summary and Next Steps.vtt
|
VTT
|
14.5 KB
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9. MDP Summary.mp4
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MP4
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2.4 MB
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9. MDP Summary.vtt
|
VTT
|
2.4 KB
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9. Monte Carlo Summary.mp4
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MP4
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5.7 MB
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9. Monte Carlo Summary.vtt
|
VTT
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6.5 KB
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9. Python 2 vs Python 3.mp4
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MP4
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7.8 MB
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9. Python 2 vs Python 3.vtt
|
VTT
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5.9 KB
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9. Tic Tac Toe Code The Agent.mp4
|
MP4
|
9 MB
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9. Tic Tac Toe Code The Agent.vtt
|
VTT
|
10 KB
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9. Value Iteration.mp4
|
MP4
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6.2 MB
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9. Value Iteration.vtt
|
VTT
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6.4 KB
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[Tutorialsplanet.NET].url
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URL
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102 B
|
![Udemy - Artificial Intelligence: Reinforcement Learning in Python [TP]](/static/img/no-torrent-image.png "Udemy - Artificial Intelligence: Reinforcement Learning in Python [TP]")
