GigaCourse Com Udemy Artificial Intelligence Reinforcement Learning in Python

GigaCourse Com Udemy Artificial Intelligence Reinforcement Learning in Python

Name	[GigaCourse.Com] Udemy - Artificial Intelligence - Reinforcement Learning in Python	DOWNLOAD Copy Link
Total Size	4.4 GB
Total Files	228
Last Seen	2024-09-06 23:50
Hash	F6C9C8F8252C94189C7E50D95E6A63A052EA073F

/0. Websites you may like/
[CourseClub.ME].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/1. Welcome/
1. Introduction-en_US.srt	4.1 KB
1. Introduction.mp4	35.9 MB
2. Course Outline and Big Picture-en_US.srt	10.3 KB
2. Course Outline and Big Picture.mp4	41.6 MB
3. External URLs.txt	0.1 KB
3. Where to get the Code-en_US.srt	6.2 KB
3. Where to get the Code.mp4	23.8 MB
4. How to Succeed in this Course-en_US.srt	8.1 KB
4. How to Succeed in this Course.mp4	46.0 MB
5. Warmup-en_US.srt	18.6 KB
5. Warmup.mp4	65.6 MB
/10. Stock Trading Project with Reinforcement Learning/
1. Beginners, halt! Stop here if you skipped ahead-en_US.srt	20.4 KB
1. Beginners, halt! Stop here if you skipped ahead.mp4	87.8 MB
10. Stock Trading Project Discussion-en_US.srt	4.3 KB
10. Stock Trading Project Discussion.mp4	16.5 MB
2. Stock Trading Project Section Introduction-en_US.srt	6.7 KB
2. Stock Trading Project Section Introduction.mp4	28.1 MB
3. Data and Environment-en_US.srt	15.5 KB
3. Data and Environment.mp4	54.5 MB
4. How to Model Q for Q-Learning-en_US.srt	11.9 KB
4. How to Model Q for Q-Learning.mp4	47.1 MB
5. Design of the Program-en_US.srt	8.4 KB
5. Design of the Program.mp4	24.4 MB
6. Code pt 1-en_US.srt	9.5 KB
6. Code pt 1.mp4	52.1 MB
7. Code pt 2-en_US.srt	11.6 KB
7. Code pt 2.mp4	68.5 MB
8. Code pt 3-en_US.srt	5.3 KB
8. Code pt 3.mp4	35.4 MB
9. Code pt 4-en_US.srt	8.1 KB
9. Code pt 4.mp4	55.5 MB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/11. Setting Up Your Environment (FAQ by Student Request)/
1. Windows-Focused Environment Setup 2018-en_US.srt	19.8 KB
1. Windows-Focused Environment Setup 2018.mp4	195.4 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt	16.1 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.0 MB
/12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/
1. How to Code by Yourself (part 1)-en_US.srt	26.6 KB
1. How to Code by Yourself (part 1).mp4	25.7 MB
2. How to Code by Yourself (part 2)-en_US.srt	16.2 KB
2. How to Code by Yourself (part 2).mp4	15.5 MB
3. Proof that using Jupyter Notebook is the same as not using it-en_US.srt	13.9 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
4. Python 2 vs Python 3-en_US.srt	6.0 KB
4. Python 2 vs Python 3.mp4	8.2 MB
/13. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/
1. How to Succeed in this Course (Long Version)-en_US.srt	14.3 KB
1. How to Succeed in this Course (Long Version).mp4	19.2 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.8 MB
3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt	15.8 KB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4	30.7 MB
4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt	22.7 KB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4	39.4 MB
/14. Appendix FAQ Finale/
1. What is the Appendix-en_US.srt	3.7 KB
1. What is the Appendix.mp4	5.7 MB
2. BONUS Where to get discount coupons and FREE deep learning material-en_US.srt	7.8 KB
2. BONUS Where to get discount coupons and FREE deep learning material.mp4	39.7 MB
/2. Return of the Multi-Armed Bandit/
1. Section Introduction The Explore-Exploit Dilemma-en_US.srt	13.3 KB
1. Section Introduction The Explore-Exploit Dilemma.mp4	54.5 MB
10. Optimistic Initial Values Beginner's Exercise Prompt-en_US.srt	2.9 KB
10. Optimistic Initial Values Beginner's Exercise Prompt.mp4	14.4 MB
11. Optimistic Initial Values Code-en_US.srt	5.1 KB
11. Optimistic Initial Values Code.mp4	25.8 MB
12. UCB1 Theory-en_US.srt	19.6 KB
12. UCB1 Theory.mp4	58.2 MB
13. UCB1 Beginner's Exercise Prompt-en_US.srt	2.7 KB
13. UCB1 Beginner's Exercise Prompt.mp4	13.4 MB
14. UCB1 Code-en_US.srt	3.7 KB
14. UCB1 Code.mp4	21.7 MB
15. Bayesian Bandits Thompson Sampling Theory (pt 1)-en_US.srt	16.5 KB
15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4	58.6 MB
16. Bayesian Bandits Thompson Sampling Theory (pt 2)-en_US.srt	23.3 KB
16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4	78.1 MB
17. Thompson Sampling Beginner's Exercise Prompt-en_US.srt	3.3 KB
17. Thompson Sampling Beginner's Exercise Prompt.mp4	18.8 MB
18. Thompson Sampling Code-en_US.srt	5.6 KB
18. Thompson Sampling Code.mp4	34.4 MB
19. Thompson Sampling With Gaussian Reward Theory-en_US.srt	14.8 KB
19. Thompson Sampling With Gaussian Reward Theory.mp4	50.9 MB
2. Applications of the Explore-Exploit Dilemma-en_US.srt	10.8 KB
2. Applications of the Explore-Exploit Dilemma.mp4	53.7 MB
20. Thompson Sampling With Gaussian Reward Code-en_US.srt	7.1 KB
20. Thompson Sampling With Gaussian Reward Code.mp4	45.5 MB
21. Why don't we just use a library-en_US.srt	7.5 KB
21. Why don't we just use a library.mp4	28.7 MB
22. Nonstationary Bandits-en_US.srt	9.4 KB
22. Nonstationary Bandits.mp4	32.5 MB
23. Bandit Summary, Real Data, and Online Learning-en_US.srt	9.0 KB
23. Bandit Summary, Real Data, and Online Learning.mp4	36.3 MB
24. (Optional) Alternative Bandit Designs-en_US.srt	14.3 KB
24. (Optional) Alternative Bandit Designs.mp4	52.8 MB
25. Suggestion Box-en_US.srt	4.6 KB
25. Suggestion Box.mp4	16.9 MB
3. Epsilon-Greedy Theory-en_US.srt	9.3 KB
3. Epsilon-Greedy Theory.mp4	29.7 MB
4. Calculating a Sample Mean (pt 1)-en_US.srt	7.4 KB
4. Calculating a Sample Mean (pt 1).mp4	24.3 MB
5. Epsilon-Greedy Beginner's Exercise Prompt-en_US.srt	6.3 KB
5. Epsilon-Greedy Beginner's Exercise Prompt.mp4	30.1 MB
6. Designing Your Bandit Program-en_US.srt	5.5 KB
6. Designing Your Bandit Program.mp4	25.7 MB
7. Epsilon-Greedy in Code-en_US.srt	8.5 KB
7. Epsilon-Greedy in Code.mp4	43.4 MB
8. Comparing Different Epsilons-en_US.srt	6.7 KB
8. Comparing Different Epsilons.mp4	45.8 MB
9. Optimistic Initial Values Theory-en_US.srt	7.0 KB
9. Optimistic Initial Values Theory.mp4	24.7 MB
/3. High Level Overview of Reinforcement Learning/
1. What is Reinforcement Learning-en_US.srt	10.8 KB
1. What is Reinforcement Learning.mp4	57.3 MB
2. From Bandits to Full Reinforcement Learning-en_US.srt	11.9 KB
2. From Bandits to Full Reinforcement Learning.mp4	43.2 MB
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
/4. Markov Decision Proccesses/
1. MDP Section Introduction-en_US.srt	8.2 KB
1. MDP Section Introduction.mp4	39.0 MB
10. The Bellman Equation (pt 3)-en_US.srt	7.6 KB
10. The Bellman Equation (pt 3).mp4	25.9 MB
11. Bellman Examples-en_US.srt	27.3 KB
11. Bellman Examples.mp4	91.3 MB
12. Optimal Policy and Optimal Value Function (pt 1)-en_US.srt	11.3 KB
12. Optimal Policy and Optimal Value Function (pt 1).mp4	58.8 MB
13. Optimal Policy and Optimal Value Function (pt 2)-en_US.srt	5.0 KB
13. Optimal Policy and Optimal Value Function (pt 2).mp4	16.5 MB
14. MDP Summary-en_US.srt	3.5 KB
14. MDP Summary.mp4	15.0 MB
2. Gridworld-en_US.srt	17.0 KB
2. Gridworld.mp4	56.6 MB
3. Choosing Rewards-en_US.srt	5.4 KB
3. Choosing Rewards.mp4	34.1 MB
4. The Markov Property-en_US.srt	7.9 KB
4. The Markov Property.mp4	22.8 MB
5. Markov Decision Processes (MDPs)-en_US.srt	19.3 KB
5. Markov Decision Processes (MDPs).mp4	64.7 MB
6. Future Rewards-en_US.srt	12.5 KB
6. Future Rewards.mp4	41.4 MB
7. Value Functions-en_US.srt	6.5 KB
7. Value Functions.mp4	19.5 MB
8. The Bellman Equation (pt 1)-en_US.srt	10.9 KB
8. The Bellman Equation (pt 1).mp4	29.1 MB
9. The Bellman Equation (pt 2)-en_US.srt	8.4 KB
9. The Bellman Equation (pt 2).mp4	28.0 MB
/5. Dynamic Programming/
1. Dynamic Programming Section Introduction-en_US.srt	12.2 KB
1. Dynamic Programming Section Introduction.mp4	36.4 MB
10. Policy Iteration in Code-en_US.srt	10.6 KB
10. Policy Iteration in Code.mp4	59.1 MB
11. Policy Iteration in Windy Gridworld-en_US.srt	10.8 KB
11. Policy Iteration in Windy Gridworld.mp4	53.9 MB
12. Value Iteration-en_US.srt	9.5 KB
12. Value Iteration.mp4	37.0 MB
13. Value Iteration in Code-en_US.srt	8.7 KB
13. Value Iteration in Code.mp4	47.9 MB
14. Dynamic Programming Summary-en_US.srt	6.4 KB
14. Dynamic Programming Summary.mp4	26.3 MB
2. Iterative Policy Evaluation-en_US.srt	20.9 KB
2. Iterative Policy Evaluation.mp4	63.8 MB
3. Designing Your RL Program-en_US.srt	6.5 KB
3. Designing Your RL Program.mp4	23.4 MB
4. Gridworld in Code-en_US.srt	16.1 KB
4. Gridworld in Code.mp4	49.1 MB
5. Iterative Policy Evaluation in Code-en_US.srt	16.0 KB
5. Iterative Policy Evaluation in Code.mp4	71.8 MB
6. Windy Gridworld in Code-en_US.srt	10.3 KB
6. Windy Gridworld in Code.mp4	43.5 MB
7. Iterative Policy Evaluation for Windy Gridworld in Code-en_US.srt	9.6 KB
7. Iterative Policy Evaluation for Windy Gridworld in Code.mp4	49.2 MB
8. Policy Improvement-en_US.srt	14.5 KB
8. Policy Improvement.mp4	46.1 MB
9. Policy Iteration-en_US.srt	10.2 KB
9. Policy Iteration.mp4	35.8 MB
/6. Monte Carlo/
1. Monte Carlo Intro-en_US.srt	12.4 KB
1. Monte Carlo Intro.mp4	49.9 MB
2. Monte Carlo Policy Evaluation-en_US.srt	14.4 KB
2. Monte Carlo Policy Evaluation.mp4	49.4 MB
3. Monte Carlo Policy Evaluation in Code-en_US.srt	10.4 KB
3. Monte Carlo Policy Evaluation in Code.mp4	54.2 MB
4. Monte Carlo Control-en_US.srt	11.4 KB
4. Monte Carlo Control.mp4	37.3 MB
5. Monte Carlo Control in Code-en_US.srt	11.0 KB
5. Monte Carlo Control in Code.mp4	67.5 MB
6. Monte Carlo Control without Exploring Starts-en_US.srt	5.7 KB
6. Monte Carlo Control without Exploring Starts.mp4	24.5 MB
7. Monte Carlo Control without Exploring Starts in Code-en_US.srt	7.1 KB
7. Monte Carlo Control without Exploring Starts in Code.mp4	42.7 MB
8. Monte Carlo Summary-en_US.srt	2.1 KB
8. Monte Carlo Summary.mp4	12.0 MB
/7. Temporal Difference Learning/
1. Temporal Difference Introduction-en_US.srt	5.2 KB
1. Temporal Difference Introduction.mp4	15.1 MB
2. TD(0) Prediction-en_US.srt	6.8 KB
2. TD(0) Prediction.mp4	16.6 MB
3. TD(0) Prediction in Code-en_US.srt	5.9 KB
3. TD(0) Prediction in Code.mp4	34.0 MB
4. SARSA-en_US.srt	5.9 KB
4. SARSA.mp4	17.0 MB
5. SARSA in Code-en_US.srt	7.6 KB
5. SARSA in Code.mp4	47.1 MB
6. Q Learning-en_US.srt	6.2 KB
6. Q Learning.mp4	20.8 MB
7. Q Learning in Code-en_US.srt	6.0 KB
7. Q Learning in Code.mp4	40.4 MB
8. TD Learning Section Summary-en_US.srt	2.9 KB
8. TD Learning Section Summary.mp4	10.5 MB
/8. Approximation Methods/
1. Approximation Methods Section Introduction-en_US.srt	5.7 KB
1. Approximation Methods Section Introduction.mp4	23.1 MB
10. Approximation Methods Exercise-en_US.srt	5.3 KB
10. Approximation Methods Exercise.mp4	18.4 MB
11. Approximation Methods Section Summary-en_US.srt	3.9 KB
11. Approximation Methods Section Summary.mp4	22.8 MB
2. Linear Models for Reinforcement Learning-en_US.srt	11.2 KB
2. Linear Models for Reinforcement Learning.mp4	32.6 MB
3. Feature Engineering-en_US.srt	14.2 KB
3. Feature Engineering.mp4	48.1 MB
4. Approximation Methods for Prediction-en_US.srt	12.3 KB
4. Approximation Methods for Prediction.mp4	36.0 MB
5. Approximation Methods for Prediction Code-en_US.srt	10.4 KB
5. Approximation Methods for Prediction Code.mp4	65.3 MB
6. Approximation Methods for Control-en_US.srt	5.6 KB
6. Approximation Methods for Control.mp4	18.4 MB
7. Approximation Methods for Control Code-en_US.srt	10.8 KB
7. Approximation Methods for Control Code.mp4	81.5 MB
8. CartPole-en_US.srt	7.2 KB
8. CartPole.mp4	28.2 MB
9. CartPole Code-en_US.srt	6.7 KB
9. CartPole Code.mp4	49.1 MB
/9. Interlude Common Beginner Questions/
1. This Course vs. RL Book What's the Difference-en_US.srt	10.1 KB
1. This Course vs. RL Book What's the Difference.mp4	40.1 MB
/
[CourseClub.Me].url	0.1 KB
[GigaCourse.Com].url	0.0 KB
Total files 228