Torrent Info
Title Artificial Intelligence Reinforcement Learning in Python
Category
Size 4.18GB

Files List
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[TGx]Downloaded from torrentgalaxy.to .txt 585B
0 463.91KB
1 229.21KB
1. Approximation Methods Section Introduction.mp4 22.08MB
1. Approximation Methods Section Introduction-en_US.srt 5.60KB
1. Beginners, halt! Stop here if you skipped ahead.mp4 83.78MB
1. Beginners, halt! Stop here if you skipped ahead-en_US.srt 19.90KB
1. Dynamic Programming Section Introduction.mp4 34.67MB
1. Dynamic Programming Section Introduction-en_US.srt 11.91KB
1. How to Code by Yourself (part 1).mp4 24.53MB
1. How to Code by Yourself (part 1)-en_US.srt 25.95KB
1. How to Succeed in this Course (Long Version).mp4 18.31MB
1. How to Succeed in this Course (Long Version)-en_US.srt 14.00KB
1. Introduction.mp4 34.24MB
1. Introduction-en_US.srt 4.03KB
1. MDP Section Introduction.mp4 37.20MB
1. MDP Section Introduction-en_US.srt 8.02KB
1. Monte Carlo Intro.mp4 47.59MB
1. Monte Carlo Intro-en_US.srt 12.12KB
1. Section Introduction The Explore-Exploit Dilemma.mp4 51.99MB
1. Section Introduction The Explore-Exploit Dilemma-en_US.srt 12.99KB
1. Temporal Difference Introduction.mp4 14.44MB
1. Temporal Difference Introduction-en_US.srt 5.04KB
1. This Course vs. RL Book What's the Difference.mp4 38.21MB
1. This Course vs. RL Book What's the Difference-en_US.srt 9.89KB
1. What is Reinforcement Learning.mp4 54.62MB
1. What is Reinforcement Learning-en_US.srt 10.51KB
1. What is the Appendix.mp4 5.45MB
1. What is the Appendix-en_US.srt 3.58KB
1. Windows-Focused Environment Setup 2018.mp4 186.38MB
1. Windows-Focused Environment Setup 2018-en_US.srt 19.29KB
10 280.95KB
10. Approximation Methods Exercise.mp4 17.53MB
10. Approximation Methods Exercise-en_US.srt 5.13KB
10. Optimistic Initial Values Beginner's Exercise Prompt.mp4 13.77MB
10. Optimistic Initial Values Beginner's Exercise Prompt-en_US.srt 2.82KB
10. Policy Iteration in Code.mp4 56.38MB
10. Policy Iteration in Code-en_US.srt 10.39KB
10. Stock Trading Project Discussion.mp4 15.78MB
10. Stock Trading Project Discussion-en_US.srt 4.19KB
10. The Bellman Equation (pt 3).mp4 24.67MB
10. The Bellman Equation (pt 3)-en_US.srt 7.39KB
100 201.06KB
101 572.25KB
102 741.53KB
103 230.58KB
104 268.75KB
105 616.93KB
106 987.43KB
107 173.08KB
11 180.48KB
11. Approximation Methods Section Summary.mp4 21.75MB
11. Approximation Methods Section Summary-en_US.srt 3.85KB
11. Bellman Examples.mp4 87.12MB
11. Bellman Examples-en_US.srt 26.62KB
11. Optimistic Initial Values Code.mp4 24.57MB
11. Optimistic Initial Values Code-en_US.srt 4.99KB
11. Policy Iteration in Windy Gridworld.mp4 51.41MB
11. Policy Iteration in Windy Gridworld-en_US.srt 10.57KB
12 637.71KB
12. Optimal Policy and Optimal Value Function (pt 1).mp4 56.06MB
12. Optimal Policy and Optimal Value Function (pt 1)-en_US.srt 11.04KB
12. UCB1 Theory.mp4 55.53MB
12. UCB1 Theory-en_US.srt 19.19KB
12. Value Iteration.mp4 35.27MB
12. Value Iteration-en_US.srt 9.31KB
13 959.40KB
13. Optimal Policy and Optimal Value Function (pt 2).mp4 15.72MB
13. Optimal Policy and Optimal Value Function (pt 2)-en_US.srt 4.91KB
13. UCB1 Beginner's Exercise Prompt.mp4 12.74MB
13. UCB1 Beginner's Exercise Prompt-en_US.srt 2.65KB
13. Value Iteration in Code.mp4 45.67MB
13. Value Iteration in Code-en_US.srt 8.51KB
14 97.75KB
14. Dynamic Programming Summary.mp4 25.11MB
14. Dynamic Programming Summary-en_US.srt 6.28KB
14. MDP Summary.mp4 14.28MB
14. MDP Summary-en_US.srt 3.46KB
14. UCB1 Code.mp4 20.66MB
14. UCB1 Code-en_US.srt 3.59KB
15 485.31KB
15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 55.90MB
15. Bayesian Bandits Thompson Sampling Theory (pt 1)-en_US.srt 16.13KB
16 387.90KB
16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 74.50MB
16. Bayesian Bandits Thompson Sampling Theory (pt 2)-en_US.srt 22.71KB
17 10.86KB
17. Thompson Sampling Beginner's Exercise Prompt.mp4 17.89MB
17. Thompson Sampling Beginner's Exercise Prompt-en_US.srt 3.26KB
18 64.50KB
18. Thompson Sampling Code.mp4 32.83MB
18. Thompson Sampling Code-en_US.srt 5.43KB
19 1015.38KB
19. Thompson Sampling With Gaussian Reward Theory.mp4 48.51MB
19. Thompson Sampling With Gaussian Reward Theory-en_US.srt 14.41KB
2 697.20KB
2. Applications of the Explore-Exploit Dilemma.mp4 51.18MB
2. Applications of the Explore-Exploit Dilemma-en_US.srt 10.50KB
2. BONUS Where to get discount coupons and FREE deep learning material.mp4 37.83MB
2. BONUS Where to get discount coupons and FREE deep learning material-en_US.srt 7.57KB
2. Course Outline and Big Picture.mp4 39.68MB
2. Course Outline and Big Picture-en_US.srt 10.04KB
2. From Bandits to Full Reinforcement Learning.mp4 41.19MB
2. From Bandits to Full Reinforcement Learning-en_US.srt 11.59KB
2. Gridworld.mp4 53.99MB
2. Gridworld-en_US.srt 16.65KB
2. How to Code by Yourself (part 2).mp4 14.80MB
2. How to Code by Yourself (part 2)-en_US.srt 15.79KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt 15.71KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.95MB
2. Iterative Policy Evaluation.mp4 60.82MB
2. Iterative Policy Evaluation-en_US.srt 20.37KB
2. Linear Models for Reinforcement Learning.mp4 31.08MB
2. Linear Models for Reinforcement Learning-en_US.srt 10.97KB
2. Monte Carlo Policy Evaluation.mp4 47.15MB
2. Monte Carlo Policy Evaluation-en_US.srt 14.07KB
2. Stock Trading Project Section Introduction.mp4 26.76MB
2. Stock Trading Project Section Introduction-en_US.srt 6.58KB
2. TD(0) Prediction.mp4 15.79MB
2. TD(0) Prediction-en_US.srt 6.64KB
20 5.42KB
20. Thompson Sampling With Gaussian Reward Code.mp4 43.43MB
20. Thompson Sampling With Gaussian Reward Code-en_US.srt 6.97KB
21 361.41KB
21. Why don't we just use a library.mp4 27.40MB
21. Why don't we just use a library-en_US.srt 7.32KB
22 606.45KB
22. Nonstationary Bandits.mp4 30.98MB
22. Nonstationary Bandits-en_US.srt 9.21KB
23 840.72KB
23. Bandit Summary, Real Data, and Online Learning.mp4 34.61MB
23. Bandit Summary, Real Data, and Online Learning-en_US.srt 8.76KB
24 677.26KB
24. (Optional) Alternative Bandit Designs.mp4 50.34MB
24. (Optional) Alternative Bandit Designs-en_US.srt 13.93KB
25 282.56KB
25. Suggestion Box.mp4 16.13MB
25. Suggestion Box-en_US.srt 4.50KB
26 505.47KB
27 419.86KB
28 871.86KB
29 71.52KB
3 316.54KB
3. Choosing Rewards.mp4 32.49MB
3. Choosing Rewards-en_US.srt 5.23KB
3. Data and Environment.mp4 52.01MB
3. Data and Environment-en_US.srt 15.11KB
3. Designing Your RL Program.mp4 22.34MB
3. Designing Your RL Program-en_US.srt 6.39KB
3. Epsilon-Greedy Theory.mp4 28.30MB
3. Epsilon-Greedy Theory-en_US.srt 9.05KB
3. External URLs.txt 75B
3. Feature Engineering.mp4 45.88MB
3. Feature Engineering-en_US.srt 13.90KB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 29.32MB
3. Machine Learning and AI Prerequisite Roadmap (pt 1)-en_US.srt 15.45KB
3. Monte Carlo Policy Evaluation in Code.mp4 51.65MB
3. Monte Carlo Policy Evaluation in Code-en_US.srt 10.17KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4 78.32MB
3. Proof that using Jupyter Notebook is the same as not using it-en_US.srt 13.54KB
3. TD(0) Prediction in Code.mp4 32.43MB
3. TD(0) Prediction in Code-en_US.srt 5.80KB
3. Where to get the Code.mp4 22.72MB
3. Where to get the Code-en_US.srt 6.05KB
30 178.11KB
31 213.87KB
32 127.63KB
33 337.29KB
34 98.73KB
35 116.89KB
36 14.30KB
37 86.88KB
38 181.04KB
39 355.22KB
4 511.05KB
4. Approximation Methods for Prediction.mp4 34.34MB
4. Approximation Methods for Prediction-en_US.srt 12.06KB
4. Calculating a Sample Mean (pt 1).mp4 23.13MB
4. Calculating a Sample Mean (pt 1)-en_US.srt 7.22KB
4. Gridworld in Code.mp4 46.79MB
4. Gridworld in Code-en_US.srt 15.72KB
4. How to Model Q for Q-Learning.mp4 44.89MB
4. How to Model Q for Q-Learning-en_US.srt 11.58KB
4. How to Succeed in this Course.mp4 43.82MB
4. How to Succeed in this Course-en_US.srt 7.94KB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 37.62MB
4. Machine Learning and AI Prerequisite Roadmap (pt 2)-en_US.srt 22.21KB
4. Monte Carlo Control.mp4 35.61MB
4. Monte Carlo Control-en_US.srt 11.16KB
4. Python 2 vs Python 3.mp4 7.83MB
4. Python 2 vs Python 3-en_US.srt 5.86KB
4. SARSA.mp4 16.22MB
4. SARSA-en_US.srt 5.77KB
4. The Markov Property.mp4 21.76MB
4. The Markov Property-en_US.srt 7.70KB
40 588.54KB
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42 579.25KB
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44 320.22KB
45 323.00KB
46 512.09KB
47 49.29KB
48 465.42KB
49 812.71KB
5 583.75KB
5. Approximation Methods for Prediction Code.mp4 62.29MB
5. Approximation Methods for Prediction Code-en_US.srt 10.20KB
5. Design of the Program.mp4 23.31MB
5. Design of the Program-en_US.srt 8.19KB
5. Epsilon-Greedy Beginner's Exercise Prompt.mp4 28.66MB
5. Epsilon-Greedy Beginner's Exercise Prompt-en_US.srt 6.15KB
5. Iterative Policy Evaluation in Code.mp4 68.43MB
5. Iterative Policy Evaluation in Code-en_US.srt 15.64KB
5. Markov Decision Processes (MDPs).mp4 61.73MB
5. Markov Decision Processes (MDPs)-en_US.srt 18.85KB
5. Monte Carlo Control in Code.mp4 64.41MB
5. Monte Carlo Control in Code-en_US.srt 10.74KB
5. SARSA in Code.mp4 44.90MB
5. SARSA in Code-en_US.srt 7.40KB
5. Warmup.mp4 62.60MB
5. Warmup-en_US.srt 18.14KB
50 174.93KB
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6. Approximation Methods for Control.mp4 17.59MB
6. Approximation Methods for Control-en_US.srt 5.49KB
6. Code pt 1.mp4 49.72MB
6. Code pt 1-en_US.srt 9.28KB
6. Designing Your Bandit Program.mp4 24.51MB
6. Designing Your Bandit Program-en_US.srt 5.41KB
6. Future Rewards.mp4 39.50MB
6. Future Rewards-en_US.srt 12.19KB
6. Monte Carlo Control without Exploring Starts.mp4 23.40MB
6. Monte Carlo Control without Exploring Starts-en_US.srt 5.60KB
6. Q Learning.mp4 19.82MB
6. Q Learning-en_US.srt 6.09KB
6. Windy Gridworld in Code.mp4 41.45MB
6. Windy Gridworld in Code-en_US.srt 10.04KB
60 285.86KB
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7 602.76KB
7. Approximation Methods for Control Code.mp4 77.69MB
7. Approximation Methods for Control Code-en_US.srt 10.55KB
7. Code pt 2.mp4 65.29MB
7. Code pt 2-en_US.srt 11.31KB
7. Epsilon-Greedy in Code.mp4 41.43MB
7. Epsilon-Greedy in Code-en_US.srt 8.30KB
7. Iterative Policy Evaluation for Windy Gridworld in Code.mp4 46.93MB
7. Iterative Policy Evaluation for Windy Gridworld in Code-en_US.srt 9.34KB
7. Monte Carlo Control without Exploring Starts in Code.mp4 40.69MB
7. Monte Carlo Control without Exploring Starts in Code-en_US.srt 6.91KB
7. Q Learning in Code.mp4 38.55MB
7. Q Learning in Code-en_US.srt 5.83KB
7. Value Functions.mp4 18.55MB
7. Value Functions-en_US.srt 6.38KB
70 616.93KB
71 98.39KB
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75 333.58KB
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77 479.06KB
78 501.02KB
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8 410.56KB
8. CartPole.mp4 26.90MB
8. CartPole-en_US.srt 6.99KB
8. Code pt 3.mp4 33.72MB
8. Code pt 3-en_US.srt 5.20KB
8. Comparing Different Epsilons.mp4 43.65MB
8. Comparing Different Epsilons-en_US.srt 6.51KB
8. Monte Carlo Summary.mp4 11.40MB
8. Monte Carlo Summary-en_US.srt 2.08KB
8. Policy Improvement.mp4 43.99MB
8. Policy Improvement-en_US.srt 14.18KB
8. TD Learning Section Summary.mp4 10.04MB
8. TD Learning Section Summary-en_US.srt 2.85KB
8. The Bellman Equation (pt 1).mp4 27.78MB
8. The Bellman Equation (pt 1)-en_US.srt 10.68KB
80 618.47KB
81 705.04KB
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83 287.10KB
84 680.54KB
85 946.98KB
86 241.59KB
87 253.06KB
88 347.26KB
89 184.74KB
9 727.63KB
9. CartPole Code.mp4 46.83MB
9. CartPole Code-en_US.srt 6.52KB
9. Code pt 4.mp4 52.94MB
9. Code pt 4-en_US.srt 7.94KB
9. Optimistic Initial Values Theory.mp4 23.52MB
9. Optimistic Initial Values Theory-en_US.srt 6.87KB
9. Policy Iteration.mp4 34.15MB
9. Policy Iteration-en_US.srt 9.99KB
9. The Bellman Equation (pt 2).mp4 26.69MB
9. The Bellman Equation (pt 2)-en_US.srt 8.24KB
90 461.17KB
91 709.11KB
92 110.23KB
93 422.77KB
94 477.43KB
95 799.89KB
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97 216.54KB
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99 291.18KB
TutsNode.com.txt 63B
Distribution statistics by country
United States (US) 3
Hungary (HU) 1
Bulgaria (BG) 1
India (IN) 1
Vietnam (VN) 1
Netherlands (NL) 1
Philippines (PH) 1
Total 9
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