Tutorialsplanet NET Udemy Artificial Intelligence Reinforcement Learning in Python

Tutorialsplanet NET Udemy Artificial Intelligence Reinforcement Learning in Python

Name	[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python	DOWNLOAD Copy Link
Total Size	3.3 GB
Total Files	215
Hash	1354286108BBA68822D0987E222162CEDF3C69A2

/1. Welcome/
1. Introduction.mp4	35.9 MB
1. Introduction.srt	4.6 KB
2. Course Outline and Big Picture.mp4	41.6 MB
2. Course Outline and Big Picture.srt	11.4 KB
3. Where to get the Code.mp4	23.8 MB
3. Where to get the Code.srt	7.1 KB
4. How to Succeed in this Course.mp4	16.5 MB
4. How to Succeed in this Course.srt	4.5 KB
5. Warmup.mp4	65.7 MB
5. Warmup.srt	20.0 KB
/10. Setting Up Your Environment/
1. Windows-Focused Environment Setup 2018.mp4	195.4 MB
1. Windows-Focused Environment Setup 2018.srt	21.9 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.1 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	18.8 KB
/11. Extra Help With Python Coding for Beginners/
1. How to Code by Yourself (part 1).mp4	25.7 MB
1. How to Code by Yourself (part 1).srt	30.9 KB
2. How to Code by Yourself (part 2).mp4	15.5 MB
2. How to Code by Yourself (part 2).srt	18.9 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
3. Proof that using Jupyter Notebook is the same as not using it.srt	15.2 KB
4. Python 2 vs Python 3.mp4	8.2 MB
4. Python 2 vs Python 3.srt	6.6 KB
/12. Effective Learning Strategies for Machine Learning/
1. How to Succeed in this Course (Long Version).mp4	19.2 MB
1. How to Succeed in this Course (Long Version).srt	15.4 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.9 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	34.4 KB
3. What order should I take your courses in (part 1).mp4	30.7 MB
3. What order should I take your courses in (part 1).srt	17.5 KB
4. What order should I take your courses in (part 2).mp4	39.5 MB
4. What order should I take your courses in (part 2).srt	25.6 KB
/13. Appendix FAQ/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.srt	3.9 KB
2. BONUS Where to get discount coupons and FREE deep learning material.mp4	39.7 MB
2. BONUS Where to get discount coupons and FREE deep learning material.srt	8.5 KB
/2. Return of the Multi-Armed Bandit/
1. Section Introduction The Explore-Exploit Dilemma.mp4	54.5 MB
1. Section Introduction The Explore-Exploit Dilemma.srt	15.1 KB
10. Optimistic Initial Values Beginner's Exercise Prompt.mp4	14.4 MB
10. Optimistic Initial Values Beginner's Exercise Prompt.srt	3.2 KB
11. Optimistic Initial Values Code.mp4	25.8 MB
11. Optimistic Initial Values Code.srt	5.9 KB
12. UCB1 Theory.mp4	58.2 MB
12. UCB1 Theory.srt	22.5 KB
13. UCB1 Beginner's Exercise Prompt.mp4	13.4 MB
13. UCB1 Beginner's Exercise Prompt.srt	3.1 KB
14. UCB1 Code.mp4	21.7 MB
14. UCB1 Code.srt	4.4 KB
15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4	58.6 MB
15. Bayesian Bandits Thompson Sampling Theory (pt 1).srt	18.8 KB
16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4	78.1 MB
16. Bayesian Bandits Thompson Sampling Theory (pt 2).srt	26.3 KB
17. Thompson Sampling Beginner's Exercise Prompt.mp4	18.8 MB
17. Thompson Sampling Beginner's Exercise Prompt.srt	3.9 KB
18. Thompson Sampling Code.mp4	34.4 MB
18. Thompson Sampling Code.srt	6.5 KB
19. Thompson Sampling With Gaussian Reward Theory.mp4	50.9 MB
19. Thompson Sampling With Gaussian Reward Theory.srt	16.9 KB
2. Applications of the Explore-Exploit Dilemma.mp4	53.7 MB
2. Applications of the Explore-Exploit Dilemma.srt	12.0 KB
20. Thompson Sampling With Gaussian Reward Code.mp4	45.5 MB
20. Thompson Sampling With Gaussian Reward Code.srt	8.3 KB
21. Why don't we just use a library.mp4	28.7 MB
21. Why don't we just use a library.srt	8.6 KB
22. Nonstationary Bandits.mp4	32.5 MB
22. Nonstationary Bandits.srt	10.4 KB
23. Bandit Summary, Real Data, and Online Learning.mp4	36.3 MB
23. Bandit Summary, Real Data, and Online Learning.srt	10.3 KB
24. (Optional) Alternative Bandit Designs.mp4	52.8 MB
24. (Optional) Alternative Bandit Designs.srt	15.5 KB
25. Suggestion Box.mp4	16.9 MB
25. Suggestion Box.srt	5.2 KB
3. Epsilon-Greedy Theory.mp4	29.7 MB
3. Epsilon-Greedy Theory.srt	10.7 KB
4. Calculating a Sample Mean (pt 1).mp4	24.3 MB
4. Calculating a Sample Mean (pt 1).srt	8.7 KB
5. Epsilon-Greedy Beginner's Exercise Prompt.mp4	30.1 MB
5. Epsilon-Greedy Beginner's Exercise Prompt.srt	7.3 KB
6. Designing Your Bandit Program.mp4	25.7 MB
6. Designing Your Bandit Program.srt	6.1 KB
7. Epsilon-Greedy in Code.mp4	43.5 MB
7. Epsilon-Greedy in Code.srt	9.6 KB
8. Comparing Different Epsilons.mp4	45.8 MB
8. Comparing Different Epsilons.srt	7.2 KB
9. Optimistic Initial Values Theory.mp4	24.7 MB
9. Optimistic Initial Values Theory.srt	8.1 KB
/3. High Level Overview of Reinforcement Learning/
1. What is Reinforcement Learning.mp4	57.3 MB
1. What is Reinforcement Learning.srt	12.1 KB
2. On Unusual or Unexpected Strategies of RL.mp4	38.9 MB
2. On Unusual or Unexpected Strategies of RL.srt	8.8 KB
3. From Bandits to Full Reinforcement Learning.mp4	43.2 MB
3. From Bandits to Full Reinforcement Learning.srt	13.6 KB
/4. Markov Decision Proccesses/
1. MDP Section Introduction.mp4	39.0 MB
1. MDP Section Introduction.srt	9.6 KB
10. The Bellman Equation (pt 3).mp4	25.9 MB
10. The Bellman Equation (pt 3).srt	8.9 KB
11. Bellman Examples.mp4	91.4 MB
11. Bellman Examples.srt	29.9 KB
12. Optimal Policy and Optimal Value Function (pt 1).mp4	58.8 MB
12. Optimal Policy and Optimal Value Function (pt 1).srt	13.1 KB
13. Optimal Policy and Optimal Value Function (pt 2).mp4	16.5 MB
13. Optimal Policy and Optimal Value Function (pt 2).srt	5.6 KB
14. MDP Summary.mp4	15.0 MB
14. MDP Summary.srt	4.1 KB
2. Gridworld.mp4	56.6 MB
2. Gridworld.srt	19.6 KB
3. Choosing Rewards.mp4	34.1 MB
3. Choosing Rewards.srt	6.0 KB
4. The Markov Property.mp4	22.8 MB
4. The Markov Property.srt	9.1 KB
5. Markov Decision Processes (MDPs).mp4	64.7 MB
5. Markov Decision Processes (MDPs).srt	22.4 KB
6. Future Rewards.mp4	41.4 MB
6. Future Rewards.srt	14.5 KB
7. Value Functions.mp4	19.5 MB
7. Value Functions.srt	19.5 MB
8. The Bellman Equation (pt 1).mp4	29.1 MB
8. The Bellman Equation (pt 1).srt	12.6 KB
9. The Bellman Equation (pt 2).mp4	28.0 MB
9. The Bellman Equation (pt 2).srt	9.7 KB
/5. Dynamic Programming/
1. Intro to Dynamic Programming and Iterative Policy Evaluation.mp4	5.1 MB
1. Intro to Dynamic Programming and Iterative Policy Evaluation.srt	5.5 KB
10. Policy Iteration in Windy Gridworld.mp4	53.9 MB
10. Policy Iteration in Windy Gridworld.srt	12.6 KB
11. Value Iteration.mp4	6.5 MB
11. Value Iteration.srt	7.1 KB
12. Value Iteration in Code.mp4	47.9 MB
12. Value Iteration in Code.srt	10.1 KB
13. Dynamic Programming Summary.mp4	8.7 MB
13. Dynamic Programming Summary.srt	9.6 KB
2. Designing Your RL Program.mp4	23.4 MB
2. Designing Your RL Program.srt	7.2 KB
3. Gridworld in Code.mp4	49.1 MB
3. Gridworld in Code.srt	18.5 KB
4. Iterative Policy Evaluation in Code.mp4	71.8 MB
4. Iterative Policy Evaluation in Code.srt	18.5 KB
5. Windy Gridworld in Code.mp4	43.5 MB
5. Windy Gridworld in Code.srt	11.4 KB
6. Iterative Policy Evaluation for Windy Gridworld in Code.mp4	49.2 MB
6. Iterative Policy Evaluation for Windy Gridworld in Code.srt	11.2 KB
7. Policy Improvement.mp4	4.8 MB
7. Policy Improvement.srt	5.3 KB
8. Policy Iteration.mp4	3.3 MB
8. Policy Iteration.srt	3.5 KB
9. Policy Iteration in Code.mp4	59.1 MB
9. Policy Iteration in Code.srt	12.5 KB
/6. Monte Carlo/
1. Monte Carlo Intro.mp4	5.2 MB
1. Monte Carlo Intro.srt	6.1 KB
2. Monte Carlo Policy Evaluation.mp4	9.2 MB
2. Monte Carlo Policy Evaluation.srt	11.1 KB
3. Monte Carlo Policy Evaluation in Code.mp4	8.3 MB
3. Monte Carlo Policy Evaluation in Code.srt	6.3 KB
4. Policy Evaluation in Windy Gridworld.mp4	8.2 MB
4. Policy Evaluation in Windy Gridworld.srt	5.4 KB
5. Monte Carlo Control.mp4	9.7 MB
5. Monte Carlo Control.srt	10.5 KB
6. Monte Carlo Control in Code.mp4	10.7 MB
6. Monte Carlo Control in Code.srt	6.0 KB
7. Monte Carlo Control without Exploring Starts.mp4	4.8 MB
7. Monte Carlo Control without Exploring Starts.srt	5.7 KB
8. Monte Carlo Control without Exploring Starts in Code.mp4	8.4 MB
8. Monte Carlo Control without Exploring Starts in Code.srt	3.7 KB
9. Monte Carlo Summary.mp4	6.0 MB
9. Monte Carlo Summary.srt	7.3 KB
/7. Temporal Difference Learning/
1. Temporal Difference Intro.mp4	2.9 MB
1. Temporal Difference Intro.srt	3.4 KB
2. TD(0) Prediction.mp4	6.1 MB
2. TD(0) Prediction.srt	6.5 KB
3. TD(0) Prediction in Code.mp4	5.6 MB
3. TD(0) Prediction in Code.srt	4.1 KB
4. SARSA.mp4	8.6 MB
4. SARSA.srt	9.9 KB
5. SARSA in Code.mp4	9.2 MB
5. SARSA in Code.srt	5.7 KB
6. Q Learning.mp4	5.1 MB
6. Q Learning.srt	6.0 KB
7. Q Learning in Code.mp4	5.7 MB
7. Q Learning in Code.srt	3.5 KB
8. TD Summary.mp4	4.1 MB
8. TD Summary.srt	4.8 KB
/8. Approximation Methods/
1. Approximation Intro.mp4	6.8 MB
1. Approximation Intro.srt	8.2 KB
2. Linear Models for Reinforcement Learning.mp4	6.8 MB
2. Linear Models for Reinforcement Learning.srt	7.6 KB
3. Features.mp4	6.5 MB
3. Features.srt	7.1 KB
4. Monte Carlo Prediction with Approximation.mp4	3.0 MB
4. Monte Carlo Prediction with Approximation.srt	2.5 KB
5. Monte Carlo Prediction with Approximation in Code.mp4	6.9 MB
5. Monte Carlo Prediction with Approximation in Code.srt	4.1 KB
6. TD(0) Semi-Gradient Prediction.mp4	8.8 MB
6. TD(0) Semi-Gradient Prediction.srt	6.5 KB
7. Semi-Gradient SARSA.mp4	4.9 MB
7. Semi-Gradient SARSA.srt	5.6 KB
8. Semi-Gradient SARSA in Code.mp4	11.1 MB
8. Semi-Gradient SARSA in Code.srt	5.5 KB
9. Course Summary and Next Steps.mp4	13.9 MB
9. Course Summary and Next Steps.srt	16.3 KB
/9. Stock Trading Project with Reinforcement Learning/
1. Stock Trading Project Section Introduction.mp4	28.1 MB
1. Stock Trading Project Section Introduction.srt	7.3 KB
2. Data and Environment.mp4	54.5 MB
2. Data and Environment.srt	17.0 KB
3. How to Model Q for Q-Learning.mp4	47.1 MB
3. How to Model Q for Q-Learning.srt	13.3 KB
4. Design of the Program.mp4	24.5 MB
4. Design of the Program.srt	9.5 KB
5. Code pt 1.mp4	52.1 MB
5. Code pt 1.srt	10.7 KB
6. Code pt 2.mp4	68.5 MB
6. Code pt 2.srt	13.1 KB
7. Code pt 3.mp4	35.4 MB
7. Code pt 3.srt	6.0 KB
8. Code pt 4.mp4	51.5 MB
8. Code pt 4.srt	9.0 KB
9. Stock Trading Project Discussion.mp4	16.6 MB
9. Stock Trading Project Discussion.srt	4.7 KB
/
[Tutorialsplanet.NET].url	0.1 KB
Total files 215