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

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File Name
Size
1. Welcome/1. Introduction.mp4
34 MB
1. Welcome/1. Introduction.srt
4.5 kB
1. Welcome/2. Course Outline and Big Picture.mp4
40 MB
1. Welcome/2. Course Outline and Big Picture.srt
11 kB
1. Welcome/3. Where to get the Code.mp4
23 MB
1. Welcome/3. Where to get the Code.srt
7.0 kB
1. Welcome/4. How to Succeed in this Course.mp4
16 MB
1. Welcome/4. How to Succeed in this Course.srt
4.4 kB
1. Welcome/5. Warmup.mp4
63 MB
1. Welcome/5. Warmup.srt
20 kB
1. Welcome/[Tutorialsplanet.NET].url
128 B
10/1. Windows-Focused Environment Setup 2018.mp4
186 MB
10/1. Windows-Focused Environment Setup 2018.srt
20 kB
10/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
44 MB
10/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
18 kB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4
24 MB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).srt
30 kB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4
15 MB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).srt
18 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 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 kB
11. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4
7.8 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 MB
12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).srt
14 kB
12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
29 MB
12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt
16 kB
12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
38 MB
12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt
23 kB
13. Appendix FAQ Finale/1. What is the Appendix.mp4
5.5 MB
13. Appendix FAQ Finale/1. What is the Appendix.srt
3.7 kB
13. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.mp4
38 MB
13. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.srt
7.9 kB
13. Appendix FAQ/1. What is the Appendix.mp4
5.5 MB
13. Appendix FAQ/1. What is the Appendix.srt
3.8 kB
13. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.mp4
38 MB
13. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.srt
8.3 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
15 kB
2. Return of the Multi-Armed Bandit/10. Optimistic Initial Values Beginner's Exercise Prompt.mp4
14 MB
2. Return of the Multi-Armed Bandit/10. Optimistic Initial Values Beginner's Exercise Prompt.srt
3.1 kB
2. Return of the Multi-Armed Bandit/11. Optimistic Initial Values Code.mp4
25 MB
2. Return of the Multi-Armed Bandit/11. Optimistic Initial Values Code.srt
5.8 kB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4
56 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.srt
22 kB
2. Return of the Multi-Armed Bandit/13. UCB1 Beginner's Exercise Prompt.mp4
13 MB
2. Return of the Multi-Armed Bandit/13. UCB1 Beginner's Exercise Prompt.srt
3.0 kB
2. Return of the Multi-Armed Bandit/14. UCB1 Code.mp4
21 MB
2. Return of the Multi-Armed Bandit/14. UCB1 Code.srt
4.3 kB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4
56 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).srt
18 kB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4
74 MB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).srt
26 kB
2. Return of the Multi-Armed Bandit/17. Thompson Sampling Beginner's Exercise Prompt.mp4
18 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
33 MB
2. Return of the Multi-Armed Bandit/18. Thompson Sampling Code.srt
6.3 kB
2. Return of the Multi-Armed Bandit/19. Thompson Sampling With Gaussian Reward Theory.mp4
48 MB
2. Return of the Multi-Armed Bandit/19. Thompson Sampling With Gaussian Reward Theory.srt
16 kB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4
51 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.srt
12 kB
2. Return of the Multi-Armed Bandit/20. Thompson Sampling With Gaussian Reward Code.mp4
43 MB
2. Return of the Multi-Armed Bandit/20. Thompson Sampling With Gaussian Reward Code.srt
8.1 kB
2. Return of the Multi-Armed Bandit/21. Why don't we just use a library.mp4
27 MB
2. Return of the Multi-Armed Bandit/21. Why don't we just use a library.srt
8.4 kB
2. Return of the Multi-Armed Bandit/22. Nonstationary Bandits.mp4
31 MB
2. Return of the Multi-Armed Bandit/22. Nonstationary Bandits.srt
10 kB
2. Return of the Multi-Armed Bandit/23. Bandit Summary, Real Data, and Online Learning.mp4
35 MB
2. Return of the Multi-Armed Bandit/23. Bandit Summary, Real Data, and Online Learning.srt
10 kB
2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.mp4
50 MB
2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.srt
15 kB
2. Return of the Multi-Armed Bandit/25. Suggestion Box.mp4
16 MB
2. Return of the Multi-Armed Bandit/25. Suggestion Box.srt
5.0 kB
2. Return of the Multi-Armed Bandit/3. Epsilon-Greedy Theory.mp4
28 MB
2. Return of the Multi-Armed Bandit/3. Epsilon-Greedy Theory.srt
10 kB
2. Return of the Multi-Armed Bandit/4. Calculating a Sample Mean (pt 1).mp4
23 MB
2. Return of the Multi-Armed Bandit/4. Calculating a Sample Mean (pt 1).srt
8.5 kB
2. Return of the Multi-Armed Bandit/5. Epsilon-Greedy Beginner's Exercise Prompt.mp4
29 MB
2. Return of the Multi-Armed Bandit/5. Epsilon-Greedy Beginner's Exercise Prompt.srt
7.1 kB
2. Return of the Multi-Armed Bandit/6. Designing Your Bandit Program.mp4
24 MB
2. Return of the Multi-Armed Bandit/6. Designing Your Bandit Program.srt
6.0 kB
2. Return of the Multi-Armed Bandit/7. Epsilon-Greedy in Code.mp4
41 MB
2. Return of the Multi-Armed Bandit/7. Epsilon-Greedy in Code.srt
9.4 kB
2. Return of the Multi-Armed Bandit/8. Comparing Different Epsilons.mp4
44 MB
2. Return of the Multi-Armed Bandit/8. Comparing Different Epsilons.srt
7.0 kB
2. Return of the Multi-Armed Bandit/9. Optimistic Initial Values Theory.mp4
24 MB
2. Return of the Multi-Armed Bandit/9. Optimistic Initial Values Theory.srt
7.9 kB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4
55 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.srt
12 kB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4
37 MB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.srt
8.6 kB
3. High Level Overview of Reinforcement Learning/3. From Bandits to Full Reinforcement Learning.mp4
41 MB
3. High Level Overview of Reinforcement Learning/3. From Bandits to Full Reinforcement Learning.srt
13 kB
4. Markov Decision Proccesses/1. MDP Section Introduction.mp4
37 MB
4. Markov Decision Proccesses/1. MDP Section Introduction.srt
9.4 kB
4. Markov Decision Proccesses/10. The Bellman Equation (pt 3).mp4
25 MB
4. Markov Decision Proccesses/10. The Bellman Equation (pt 3).srt
8.7 kB
4. Markov Decision Proccesses/11. Bellman Examples.mp4
87 MB
4. Markov Decision Proccesses/11. Bellman Examples.srt
29 kB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4
56 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).srt
13 kB
4. Markov Decision Proccesses/13. Optimal Policy and Optimal Value Function (pt 2).mp4
16 MB
4. Markov Decision Proccesses/13. Optimal Policy and Optimal Value Function (pt 2).srt
5.5 kB
4. Markov Decision Proccesses/14. MDP Summary.mp4
14 MB
4. Markov Decision Proccesses/14. MDP Summary.srt
4.0 kB
4. Markov Decision Proccesses/2. Gridworld.mp4
54 MB
4. Markov Decision Proccesses/2. Gridworld.srt
19 kB
4. Markov Decision Proccesses/3. Choosing Rewards.mp4
32 MB
4. Markov Decision Proccesses/3. Choosing Rewards.srt
5.9 kB
4. Markov Decision Proccesses/4. The Markov Property.mp4
22 MB
4. Markov Decision Proccesses/4. The Markov Property.srt
8.9 kB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4
62 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).srt
22 kB
4. Markov Decision Proccesses/6. Future Rewards.mp4
40 MB
4. Markov Decision Proccesses/6. Future Rewards.srt
14 kB
4. Markov Decision Proccesses/7. Value Functions.mp4
18 MB
4. Markov Decision Proccesses/7. Value Functions.srt
19 MB
4. Markov Decision Proccesses/8. The Bellman Equation (pt 1).mp4
28 MB
4. Markov Decision Proccesses/8. The Bellman Equation (pt 1).srt
12 kB
4. Markov Decision Proccesses/9. The Bellman Equation (pt 2).mp4
27 MB
4. Markov Decision Proccesses/9. The Bellman Equation (pt 2).srt
9.5 kB
5. Dynamic Programming/1. Intro to Dynamic Programming and Iterative Policy Evaluation.mp4
4.8 MB
5. Dynamic Programming/1. Intro to Dynamic Programming and Iterative Policy Evaluation.srt
5.4 kB
5. Dynamic Programming/10. Policy Iteration in Windy Gridworld.mp4
51 MB
5. Dynamic Programming/10. Policy Iteration in Windy Gridworld.srt
12 kB
5. Dynamic Programming/11. Value Iteration.mp4
6.2 MB
5. Dynamic Programming/11. Value Iteration.srt
7.0 kB
5. Dynamic Programming/12. Value Iteration in Code.mp4
46 MB
5. Dynamic Programming/12. Value Iteration in Code.srt
9.8 kB
5. Dynamic Programming/13. Dynamic Programming Summary.mp4
8.3 MB
5. Dynamic Programming/13. Dynamic Programming Summary.srt
9.4 kB
5. Dynamic Programming/2. Designing Your RL Program.mp4
22 MB
5. Dynamic Programming/2. Designing Your RL Program.srt
7.1 kB
5. Dynamic Programming/3. Gridworld in Code.mp4
47 MB
5. Dynamic Programming/3. Gridworld in Code.srt
18 kB
5. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4
68 MB
5. Dynamic Programming/4. Iterative Policy Evaluation in Code.srt
18 kB
5. Dynamic Programming/5. Windy Gridworld in Code.mp4
42 MB
5. Dynamic Programming/5. Windy Gridworld in Code.srt
11 kB
5. Dynamic Programming/6. Iterative Policy Evaluation for Windy Gridworld in Code.mp4
47 MB
5. Dynamic Programming/6. Iterative Policy Evaluation for Windy Gridworld in Code.srt
11 kB
5. Dynamic Programming/7. Policy Improvement.mp4
4.5 MB
5. Dynamic Programming/7. Policy Improvement.srt
5.2 kB
5. Dynamic Programming/8. Policy Iteration.mp4
3.1 MB
5. Dynamic Programming/8. Policy Iteration.srt
3.5 kB
5. Dynamic Programming/9. Policy Iteration in Code.mp4
56 MB
5. Dynamic Programming/9. Policy Iteration in Code.srt
12 kB
6. Monte Carlo/1. Monte Carlo Intro.mp4
5.0 MB
6. Monte Carlo/1. Monte Carlo Intro.srt
6.0 kB
6. Monte Carlo/2. Monte Carlo Policy Evaluation.mp4
8.8 MB
6. Monte Carlo/2. Monte Carlo Policy Evaluation.srt
11 kB
6. Monte Carlo/3. Monte Carlo Policy Evaluation in Code.mp4
7.9 MB
6. Monte Carlo/3. Monte Carlo Policy Evaluation in Code.srt
6.1 kB
6. Monte Carlo/4. Policy Evaluation in Windy Gridworld.mp4
7.8 MB
6. Monte Carlo/4. Policy Evaluation in Windy Gridworld.srt
5.3 kB
6. Monte Carlo/5. Monte Carlo Control.mp4
9.3 MB
6. Monte Carlo/5. Monte Carlo Control.srt
10 kB
6. Monte Carlo/6. Monte Carlo Control in Code.mp4
10 MB
6. Monte Carlo/6. Monte Carlo Control in Code.srt
5.8 kB
6. Monte Carlo/7. Monte Carlo Control without Exploring Starts.mp4
4.6 MB
6. Monte Carlo/7. Monte Carlo Control without Exploring Starts.srt
5.5 kB
6. Monte Carlo/8. Monte Carlo Control without Exploring Starts in Code.mp4
8.0 MB
6. Monte Carlo/8. Monte Carlo Control without Exploring Starts in Code.srt
3.6 kB
6. Monte Carlo/9. Monte Carlo Summary.mp4
5.7 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
2.7 MB
7. Temporal Difference Learning/1. Temporal Difference Intro.srt
3.3 kB
7. Temporal Difference Learning/2. TD(0) Prediction.mp4
5.8 MB
7. Temporal Difference Learning/2. TD(0) Prediction.srt
6.4 kB
7. Temporal Difference Learning/3. TD(0) Prediction in Code.mp4
5.3 MB
7. Temporal Difference Learning/3. TD(0) Prediction in Code.srt
4.0 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
8.8 MB
7. Temporal Difference Learning/5. SARSA in Code.srt
5.5 kB
7. Temporal Difference Learning/6. Q Learning.mp4
4.8 MB
7. Temporal Difference Learning/6. Q Learning.srt
5.8 kB
7. Temporal Difference Learning/7. Q Learning in Code.mp4
5.4 MB
7. Temporal Difference Learning/7. Q Learning in Code.srt
3.5 kB
7. Temporal Difference Learning/8. TD Summary.mp4
3.9 MB
7. Temporal Difference Learning/8. TD Summary.srt
4.7 kB
8. Approximation Methods/1. Approximation Intro.mp4
6.5 MB
8. Approximation Methods/1. Approximation Intro.srt
8.0 kB
8. Approximation Methods/2. Linear Models for Reinforcement Learning.mp4
6.5 MB
8. Approximation Methods/2. Linear Models for Reinforcement Learning.srt
7.4 kB
8. Approximation Methods/3. Features.mp4
6.2 MB
8. Approximation Methods/3. Features.srt
6.9 kB
8. Approximation Methods/4. Monte Carlo Prediction with Approximation.mp4
2.8 MB
8. Approximation Methods/4. Monte Carlo Prediction with Approximation.srt
2.5 kB
8. Approximation Methods/5. Monte Carlo Prediction with Approximation in Code.mp4
6.6 MB
8. Approximation Methods/5. Monte Carlo Prediction with Approximation in Code.srt
4.0 kB
8. Approximation Methods/6. TD(0) Semi-Gradient Prediction.mp4
8.3 MB
8. Approximation Methods/6. TD(0) Semi-Gradient Prediction.srt
6.4 kB
8. Approximation Methods/7. Semi-Gradient SARSA.mp4
4.7 MB
8. Approximation Methods/7. Semi-Gradient SARSA.srt
5.5 kB
8. Approximation Methods/8. Semi-Gradient SARSA in Code.mp4
11 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 MB
8. Approximation Methods/9. Course Summary and Next Steps.srt
16 kB
9. Stock Trading Project with Reinforcement Learning/1. Stock Trading Project Section Introduction.mp4
27 MB
9. Stock Trading Project with Reinforcement Learning/1. Stock Trading Project Section Introduction.srt
7.2 kB
9. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4
52 MB
9. Stock Trading Project with Reinforcement Learning/2. Data and Environment.srt
17 kB
9. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4
45 MB
9. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.srt
13 kB
9. Stock Trading Project with Reinforcement Learning/4. Design of the Program.mp4
23 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
50 MB
9. Stock Trading Project with Reinforcement Learning/5. Code pt 1.srt
10 kB
9. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4
65 MB
9. Stock Trading Project with Reinforcement Learning/6. Code pt 2.srt
13 kB
9. Stock Trading Project with Reinforcement Learning/7. Code pt 3.mp4
34 MB
9. Stock Trading Project with Reinforcement Learning/7. Code pt 3.srt
5.8 kB
9. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4
49 MB
9. Stock Trading Project with Reinforcement Learning/8. Code pt 4.srt
8.8 kB
9. Stock Trading Project with Reinforcement Learning/9. Stock Trading Project Discussion.mp4
16 MB
9. Stock Trading Project with Reinforcement Learning/9. Stock Trading Project Discussion.srt
4.6 kB
[Tutorialsplanet.NET].url
128 B