[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python

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  • 1. Welcome/1. Introduction.mp4 34.24 MB
    1. Welcome/1. Introduction.srt 4.45 KB
    1. Welcome/2. Course Outline and Big Picture.mp4 39.69 MB
    1. Welcome/2. Course Outline and Big Picture.srt 11.16 KB
    1. Welcome/3. Where to get the Code.mp4 22.73 MB
    1. Welcome/3. Where to get the Code.srt 6.95 KB
    1. Welcome/4. How to Succeed in this Course.mp4 15.72 MB
    1. Welcome/4. How to Succeed in this Course.srt 4.36 KB
    1. Welcome/5. Warmup.mp4 62.61 MB
    1. Welcome/5. Warmup.srt 19.57 KB
    1. Welcome/[Tutorialsplanet.NET].url 128 B
    10/1. Windows-Focused Environment Setup 2018.mp4 186.39 MB
    10/1. Windows-Focused Environment Setup 2018.srt 20.1 KB
    10/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
    10/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 18.33 KB
    11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 24.54 MB
    11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).srt 30.21 KB
    11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4 14.8 MB
    11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).srt 18.42 KB
    11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 78.33 MB
    11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.srt 14.12 KB
    11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4 7.84 MB
    11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.srt 6.1 KB
    12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 18.32 MB
    12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).srt 14.55 KB
    12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 29.32 MB
    12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt 16.03 KB
    12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 37.62 MB
    12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt 23.04 KB
    13. Appendix FAQ Finale/1. What is the Appendix.mp4 5.46 MB
    13. Appendix FAQ Finale/1. What is the Appendix.srt 3.72 KB
    13. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 37.83 MB
    13. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.srt 7.87 KB
    13. Appendix FAQ/1. What is the Appendix.mp4 5.46 MB
    13. Appendix FAQ/1. What is the Appendix.srt 3.84 KB
    13. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 37.84 MB
    13. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.srt 8.26 KB
    13. Appendix FAQ/[Tutorialsplanet.NET].url 128 B
    2. Return of the Multi-Armed Bandit/1. Section Introduction The Explore-Exploit Dilemma.mp4 52 MB
    2. Return of the Multi-Armed Bandit/1. Section Introduction The Explore-Exploit Dilemma.srt 14.73 KB
    2. Return of the Multi-Armed Bandit/10. Optimistic Initial Values Beginner's Exercise Prompt.mp4 13.77 MB
    2. Return of the Multi-Armed Bandit/10. Optimistic Initial Values Beginner's Exercise Prompt.srt 3.11 KB
    2. Return of the Multi-Armed Bandit/11. Optimistic Initial Values Code.mp4 24.58 MB
    2. Return of the Multi-Armed Bandit/11. Optimistic Initial Values Code.srt 5.78 KB
    2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 55.54 MB
    2. Return of the Multi-Armed Bandit/12. UCB1 Theory.srt 21.98 KB
    2. Return of the Multi-Armed Bandit/13. UCB1 Beginner's Exercise Prompt.mp4 12.74 MB
    2. Return of the Multi-Armed Bandit/13. UCB1 Beginner's Exercise Prompt.srt 3.04 KB
    2. Return of the Multi-Armed Bandit/14. UCB1 Code.mp4 20.66 MB
    2. Return of the Multi-Armed Bandit/14. UCB1 Code.srt 4.26 KB
    2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 55.9 MB
    2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).srt 18.35 KB
    2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 74.51 MB
    2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).srt 25.73 KB
    2. Return of the Multi-Armed Bandit/17. Thompson Sampling Beginner's Exercise Prompt.mp4 17.9 MB
    2. Return of the Multi-Armed Bandit/17. Thompson Sampling Beginner's Exercise Prompt.srt 3.8 KB
    2. Return of the Multi-Armed Bandit/18. Thompson Sampling Code.mp4 32.83 MB
    2. Return of the Multi-Armed Bandit/18. Thompson Sampling Code.srt 6.32 KB
    2. Return of the Multi-Armed Bandit/19. Thompson Sampling With Gaussian Reward Theory.mp4 48.52 MB
    2. Return of the Multi-Armed Bandit/19. Thompson Sampling With Gaussian Reward Theory.srt 16.53 KB
    2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 51.19 MB
    2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.srt 11.7 KB
    2. Return of the Multi-Armed Bandit/20. Thompson Sampling With Gaussian Reward Code.mp4 43.43 MB
    2. Return of the Multi-Armed Bandit/20. Thompson Sampling With Gaussian Reward Code.srt 8.09 KB
    2. Return of the Multi-Armed Bandit/21. Why don't we just use a library.mp4 27.41 MB
    2. Return of the Multi-Armed Bandit/21. Why don't we just use a library.srt 8.38 KB
    2. Return of the Multi-Armed Bandit/22. Nonstationary Bandits.mp4 30.99 MB
    2. Return of the Multi-Armed Bandit/22. Nonstationary Bandits.srt 10.2 KB
    2. Return of the Multi-Armed Bandit/23. Bandit Summary, Real Data, and Online Learning.mp4 34.62 MB
    2. Return of the Multi-Armed Bandit/23. Bandit Summary, Real Data, and Online Learning.srt 10.08 KB
    2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.mp4 50.34 MB
    2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.srt 15.1 KB
    2. Return of the Multi-Armed Bandit/25. Suggestion Box.mp4 16.13 MB
    2. Return of the Multi-Armed Bandit/25. Suggestion Box.srt 5.05 KB
    2. Return of the Multi-Armed Bandit/3. Epsilon-Greedy Theory.mp4 28.31 MB
    2. Return of the Multi-Armed Bandit/3. Epsilon-Greedy Theory.srt 10.43 KB
    2. Return of the Multi-Armed Bandit/4. Calculating a Sample Mean (pt 1).mp4 23.13 MB
    2. Return of the Multi-Armed Bandit/4. Calculating a Sample Mean (pt 1).srt 8.49 KB
    2. Return of the Multi-Armed Bandit/5. Epsilon-Greedy Beginner's Exercise Prompt.mp4 28.67 MB
    2. Return of the Multi-Armed Bandit/5. Epsilon-Greedy Beginner's Exercise Prompt.srt 7.11 KB
    2. Return of the Multi-Armed Bandit/6. Designing Your Bandit Program.mp4 24.51 MB
    2. Return of the Multi-Armed Bandit/6. Designing Your Bandit Program.srt 5.98 KB
    2. Return of the Multi-Armed Bandit/7. Epsilon-Greedy in Code.mp4 41.44 MB
    2. Return of the Multi-Armed Bandit/7. Epsilon-Greedy in Code.srt 9.39 KB
    2. Return of the Multi-Armed Bandit/8. Comparing Different Epsilons.mp4 43.66 MB
    2. Return of the Multi-Armed Bandit/8. Comparing Different Epsilons.srt 7.03 KB
    2. Return of the Multi-Armed Bandit/9. Optimistic Initial Values Theory.mp4 23.53 MB
    2. Return of the Multi-Armed Bandit/9. Optimistic Initial Values Theory.srt 7.92 KB
    3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 54.63 MB
    3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.srt 11.86 KB
    3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4 37.1 MB
    3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.srt 8.57 KB
    3. High Level Overview of Reinforcement Learning/3. From Bandits to Full Reinforcement Learning.mp4 41.19 MB
    3. High Level Overview of Reinforcement Learning/3. From Bandits to Full Reinforcement Learning.srt 13.32 KB
    4. Markov Decision Proccesses/1. MDP Section Introduction.mp4 37.2 MB
    4. Markov Decision Proccesses/1. MDP Section Introduction.srt 9.36 KB
    4. Markov Decision Proccesses/10. The Bellman Equation (pt 3).mp4 24.67 MB
    4. Markov Decision Proccesses/10. The Bellman Equation (pt 3).srt 8.66 KB
    4. Markov Decision Proccesses/11. Bellman Examples.mp4 87.13 MB
    4. Markov Decision Proccesses/11. Bellman Examples.srt 29.16 KB
    4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 56.07 MB
    4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).srt 12.76 KB
    4. Markov Decision Proccesses/13. Optimal Policy and Optimal Value Function (pt 2).mp4 15.73 MB
    4. Markov Decision Proccesses/13. Optimal Policy and Optimal Value Function (pt 2).srt 5.47 KB
    4. Markov Decision Proccesses/14. MDP Summary.mp4 14.28 MB
    4. Markov Decision Proccesses/14. MDP Summary.srt 3.99 KB
    4. Markov Decision Proccesses/2. Gridworld.mp4 54 MB
    4. Markov Decision Proccesses/2. Gridworld.srt 19.11 KB
    4. Markov Decision Proccesses/3. Choosing Rewards.mp4 32.5 MB
    4. Markov Decision Proccesses/3. Choosing Rewards.srt 5.85 KB
    4. Markov Decision Proccesses/4. The Markov Property.mp4 21.77 MB
    4. Markov Decision Proccesses/4. The Markov Property.srt 8.87 KB
    4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 61.74 MB
    4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).srt 21.85 KB
    4. Markov Decision Proccesses/6. Future Rewards.mp4 39.51 MB
    4. Markov Decision Proccesses/6. Future Rewards.srt 14.19 KB
    4. Markov Decision Proccesses/7. Value Functions.mp4 18.55 MB
    4. Markov Decision Proccesses/7. Value Functions.srt 18.58 MB
    4. Markov Decision Proccesses/8. The Bellman Equation (pt 1).mp4 27.79 MB
    4. Markov Decision Proccesses/8. The Bellman Equation (pt 1).srt 12.27 KB
    4. Markov Decision Proccesses/9. The Bellman Equation (pt 2).mp4 26.7 MB
    4. Markov Decision Proccesses/9. The Bellman Equation (pt 2).srt 9.48 KB
    5. Dynamic Programming/1. Intro to Dynamic Programming and Iterative Policy Evaluation.mp4 4.84 MB
    5. Dynamic Programming/1. Intro to Dynamic Programming and Iterative Policy Evaluation.srt 5.37 KB
    5. Dynamic Programming/10. Policy Iteration in Windy Gridworld.mp4 51.41 MB
    5. Dynamic Programming/10. Policy Iteration in Windy Gridworld.srt 12.27 KB
    5. Dynamic Programming/11. Value Iteration.mp4 6.18 MB
    5. Dynamic Programming/11. Value Iteration.srt 6.97 KB
    5. Dynamic Programming/12. Value Iteration in Code.mp4 45.67 MB
    5. Dynamic Programming/12. Value Iteration in Code.srt 9.83 KB
    5. Dynamic Programming/13. Dynamic Programming Summary.mp4 8.31 MB
    5. Dynamic Programming/13. Dynamic Programming Summary.srt 9.39 KB
    5. Dynamic Programming/2. Designing Your RL Program.mp4 22.35 MB
    5. Dynamic Programming/2. Designing Your RL Program.srt 7.05 KB
    5. Dynamic Programming/3. Gridworld in Code.mp4 46.8 MB
    5. Dynamic Programming/3. Gridworld in Code.srt 18.03 KB
    5. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4 68.44 MB
    5. Dynamic Programming/4. Iterative Policy Evaluation in Code.srt 18.03 KB
    5. Dynamic Programming/5. Windy Gridworld in Code.mp4 41.46 MB
    5. Dynamic Programming/5. Windy Gridworld in Code.srt 11.16 KB
    5. Dynamic Programming/6. Iterative Policy Evaluation for Windy Gridworld in Code.mp4 46.93 MB
    5. Dynamic Programming/6. Iterative Policy Evaluation for Windy Gridworld in Code.srt 10.89 KB
    5. Dynamic Programming/7. Policy Improvement.mp4 4.53 MB
    5. Dynamic Programming/7. Policy Improvement.srt 5.17 KB
    5. Dynamic Programming/8. Policy Iteration.mp4 3.13 MB
    5. Dynamic Programming/8. Policy Iteration.srt 3.47 KB
    5. Dynamic Programming/9. Policy Iteration in Code.mp4 56.39 MB
    5. Dynamic Programming/9. Policy Iteration in Code.srt 12.2 KB
    6. Monte Carlo/1. Monte Carlo Intro.mp4 4.97 MB
    6. Monte Carlo/1. Monte Carlo Intro.srt 5.96 KB
    6. Monte Carlo/2. Monte Carlo Policy Evaluation.mp4 8.75 MB
    6. Monte Carlo/2. Monte Carlo Policy Evaluation.srt 10.84 KB
    6. Monte Carlo/3. Monte Carlo Policy Evaluation in Code.mp4 7.91 MB
    6. Monte Carlo/3. Monte Carlo Policy Evaluation in Code.srt 6.12 KB
    6. Monte Carlo/4. Policy Evaluation in Windy Gridworld.mp4 7.82 MB
    6. Monte Carlo/4. Policy Evaluation in Windy Gridworld.srt 5.3 KB
    6. Monte Carlo/5. Monte Carlo Control.mp4 9.26 MB
    6. Monte Carlo/5. Monte Carlo Control.srt 10.24 KB
    6. Monte Carlo/6. Monte Carlo Control in Code.mp4 10.18 MB
    6. Monte Carlo/6. Monte Carlo Control in Code.srt 5.83 KB
    6. Monte Carlo/7. Monte Carlo Control without Exploring Starts.mp4 4.62 MB
    6. Monte Carlo/7. Monte Carlo Control without Exploring Starts.srt 5.53 KB
    6. Monte Carlo/8. Monte Carlo Control without Exploring Starts in Code.mp4 8.05 MB
    6. Monte Carlo/8. Monte Carlo Control without Exploring Starts in Code.srt 3.63 KB
    6. Monte Carlo/9. Monte Carlo Summary.mp4 5.71 MB
    6. Monte Carlo/9. Monte Carlo Summary.srt 7.1 KB
    6. Monte Carlo/[Tutorialsplanet.NET].url 128 B
    7. Temporal Difference Learning/1. Temporal Difference Intro.mp4 2.72 MB
    7. Temporal Difference Learning/1. Temporal Difference Intro.srt 3.33 KB
    7. Temporal Difference Learning/2. TD(0) Prediction.mp4 5.82 MB
    7. Temporal Difference Learning/2. TD(0) Prediction.srt 6.38 KB
    7. Temporal Difference Learning/3. TD(0) Prediction in Code.mp4 5.32 MB
    7. Temporal Difference Learning/3. TD(0) Prediction in Code.srt 3.97 KB
    7. Temporal Difference Learning/4. SARSA.mp4 8.2 MB
    7. Temporal Difference Learning/4. SARSA.srt 9.7 KB
    7. Temporal Difference Learning/5. SARSA in Code.mp4 8.82 MB
    7. Temporal Difference Learning/5. SARSA in Code.srt 5.53 KB
    7. Temporal Difference Learning/6. Q Learning.mp4 4.84 MB
    7. Temporal Difference Learning/6. Q Learning.srt 5.82 KB
    7. Temporal Difference Learning/7. Q Learning in Code.mp4 5.42 MB
    7. Temporal Difference Learning/7. Q Learning in Code.srt 3.46 KB
    7. Temporal Difference Learning/8. TD Summary.mp4 3.95 MB
    7. Temporal Difference Learning/8. TD Summary.srt 4.66 KB
    8. Approximation Methods/1. Approximation Intro.mp4 6.46 MB
    8. Approximation Methods/1. Approximation Intro.srt 7.99 KB
    8. Approximation Methods/2. Linear Models for Reinforcement Learning.mp4 6.47 MB
    8. Approximation Methods/2. Linear Models for Reinforcement Learning.srt 7.39 KB
    8. Approximation Methods/3. Features.mp4 6.24 MB
    8. Approximation Methods/3. Features.srt 6.94 KB
    8. Approximation Methods/4. Monte Carlo Prediction with Approximation.mp4 2.84 MB
    8. Approximation Methods/4. Monte Carlo Prediction with Approximation.srt 2.49 KB
    8. Approximation Methods/5. Monte Carlo Prediction with Approximation in Code.mp4 6.56 MB
    8. Approximation Methods/5. Monte Carlo Prediction with Approximation in Code.srt 4.01 KB
    8. Approximation Methods/6. TD(0) Semi-Gradient Prediction.mp4 8.35 MB
    8. Approximation Methods/6. TD(0) Semi-Gradient Prediction.srt 6.36 KB
    8. Approximation Methods/7. Semi-Gradient SARSA.mp4 4.71 MB
    8. Approximation Methods/7. Semi-Gradient SARSA.srt 5.47 KB
    8. Approximation Methods/8. Semi-Gradient SARSA in Code.mp4 10.61 MB
    8. Approximation Methods/8. Semi-Gradient SARSA in Code.srt 5.4 KB
    8. Approximation Methods/9. Course Summary and Next Steps.mp4 13.24 MB
    8. Approximation Methods/9. Course Summary and Next Steps.srt 15.95 KB
    9. Stock Trading Project with Reinforcement Learning/1. Stock Trading Project Section Introduction.mp4 26.77 MB
    9. Stock Trading Project with Reinforcement Learning/1. Stock Trading Project Section Introduction.srt 7.16 KB
    9. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 52.01 MB
    9. Stock Trading Project with Reinforcement Learning/2. Data and Environment.srt 16.59 KB
    9. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4 44.9 MB
    9. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.srt 12.95 KB
    9. Stock Trading Project with Reinforcement Learning/4. Design of the Program.mp4 23.32 MB
    9. Stock Trading Project with Reinforcement Learning/4. Design of the Program.srt 9.3 KB
    9. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 49.73 MB
    9. Stock Trading Project with Reinforcement Learning/5. Code pt 1.srt 10.4 KB
    9. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 65.29 MB
    9. Stock Trading Project with Reinforcement Learning/6. Code pt 2.srt 12.77 KB
    9. Stock Trading Project with Reinforcement Learning/7. Code pt 3.mp4 33.73 MB
    9. Stock Trading Project with Reinforcement Learning/7. Code pt 3.srt 5.85 KB
    9. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4 49.09 MB
    9. Stock Trading Project with Reinforcement Learning/8. Code pt 4.srt 8.79 KB
    9. Stock Trading Project with Reinforcement Learning/9. Stock Trading Project Discussion.mp4 15.79 MB
    9. Stock Trading Project with Reinforcement Learning/9. Stock Trading Project Discussion.srt 4.63 KB
    [Tutorialsplanet.NET].url 128 B

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