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[FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

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File Name
Size
1. Introduction and Outline/1. Introduction and outline.mp4
10 MB
1. Introduction and Outline/1. Introduction and outline.vtt
12 kB
1. Introduction and Outline/2. What is Reinforcement Learning.mp4
22 MB
1. Introduction and Outline/2. What is Reinforcement Learning.vtt
24 kB
1. Introduction and Outline/3. Where to get the Code.mp4
4.5 MB
1. Introduction and Outline/3. Where to get the Code.vtt
4.9 kB
1. Introduction and Outline/4. Strategy for Passing the Course.mp4
9.5 MB
1. Introduction and Outline/4. Strategy for Passing the Course.vtt
11 kB
2. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.mp4
6.5 MB
2. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.vtt
7.1 kB
2. Return of the Multi-Armed Bandit/2. Epsilon-Greedy.mp4
2.8 MB
2. Return of the Multi-Armed Bandit/2. Epsilon-Greedy.vtt
2.9 kB
2. Return of the Multi-Armed Bandit/3. Updating a Sample Mean.mp4
2.2 MB
2. Return of the Multi-Armed Bandit/3. Updating a Sample Mean.vtt
2.0 kB
2. Return of the Multi-Armed Bandit/4. Comparing Different Epsilons.mp4
8.0 MB
2. Return of the Multi-Armed Bandit/4. Comparing Different Epsilons.vtt
4.9 kB
2. Return of the Multi-Armed Bandit/5. Optimistic Initial Values.mp4
5.1 MB
2. Return of the Multi-Armed Bandit/5. Optimistic Initial Values.vtt
3.0 kB
2. Return of the Multi-Armed Bandit/6. UCB1.mp4
8.2 MB
2. Return of the Multi-Armed Bandit/6. UCB1.vtt
7.4 kB
2. Return of the Multi-Armed Bandit/7. Bayesian Thompson Sampling.mp4
52 MB
2. Return of the Multi-Armed Bandit/7. Bayesian Thompson Sampling.vtt
11 kB
2. Return of the Multi-Armed Bandit/8. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4
11 MB
2. Return of the Multi-Armed Bandit/8. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.vtt
5.5 kB
2. Return of the Multi-Armed Bandit/9. Nonstationary Bandits.mp4
7.5 MB
2. Return of the Multi-Armed Bandit/9. Nonstationary Bandits.vtt
7.1 kB
3. Build an Intelligent Tic-Tac-Toe Agent/1. Naive Solution to Tic-Tac-Toe.mp4
6.1 MB
3. Build an Intelligent Tic-Tac-Toe Agent/1. Naive Solution to Tic-Tac-Toe.vtt
6.6 kB
3. Build an Intelligent Tic-Tac-Toe Agent/10. Tic Tac Toe Code Main Loop and Demo.mp4
9.4 MB
3. Build an Intelligent Tic-Tac-Toe Agent/10. Tic Tac Toe Code Main Loop and Demo.vtt
8.4 kB
3. Build an Intelligent Tic-Tac-Toe Agent/11. Tic Tac Toe Summary.mp4
8.3 MB
3. Build an Intelligent Tic-Tac-Toe Agent/11. Tic Tac Toe Summary.vtt
9.3 kB
3. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.mp4
13 MB
3. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.vtt
13 kB
3. Build an Intelligent Tic-Tac-Toe Agent/3. Notes on Assigning Rewards.mp4
4.2 MB
3. Build an Intelligent Tic-Tac-Toe Agent/3. Notes on Assigning Rewards.vtt
4.5 kB
3. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4
104 MB
3. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.vtt
22 kB
3. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.mp4
5.0 MB
3. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.vtt
5.9 kB
3. Build an Intelligent Tic-Tac-Toe Agent/6. Tic Tac Toe Code Representing States.mp4
4.4 MB
3. Build an Intelligent Tic-Tac-Toe Agent/6. Tic Tac Toe Code Representing States.vtt
4.5 kB
3. Build an Intelligent Tic-Tac-Toe Agent/7. Tic Tac Toe Code Enumerating States Recursively.mp4
9.8 MB
3. Build an Intelligent Tic-Tac-Toe Agent/7. Tic Tac Toe Code Enumerating States Recursively.vtt
10 kB
3. Build an Intelligent Tic-Tac-Toe Agent/8. Tic Tac Toe Code The Environment.mp4
10 MB
3. Build an Intelligent Tic-Tac-Toe Agent/8. Tic Tac Toe Code The Environment.vtt
11 kB
3. Build an Intelligent Tic-Tac-Toe Agent/9. Tic Tac Toe Code The Agent.mp4
9.0 MB
3. Build an Intelligent Tic-Tac-Toe Agent/9. Tic Tac Toe Code The Agent.vtt
10 kB
4. Markov Decision Proccesses/1. Gridworld.mp4
3.4 MB
4. Markov Decision Proccesses/1. Gridworld.vtt
3.7 kB
4. Markov Decision Proccesses/2. The Markov Property.mp4
7.2 MB
4. Markov Decision Proccesses/2. The Markov Property.vtt
7.7 kB
4. Markov Decision Proccesses/3. Defining and Formalizing the MDP.mp4
6.6 MB
4. Markov Decision Proccesses/3. Defining and Formalizing the MDP.vtt
7.2 kB
4. Markov Decision Proccesses/4. Future Rewards.mp4
5.2 MB
4. Markov Decision Proccesses/4. Future Rewards.vtt
5.5 kB
4. Markov Decision Proccesses/5. Value Function Introduction.mp4
20 MB
4. Markov Decision Proccesses/5. Value Function Introduction.vtt
14 kB
4. Markov Decision Proccesses/6. Value Functions.mp4
8.3 MB
4. Markov Decision Proccesses/6. Value Functions.vtt
11 kB
4. Markov Decision Proccesses/7. Bellman Examples.mp4
87 MB
4. Markov Decision Proccesses/7. Bellman Examples.vtt
26 kB
4. Markov Decision Proccesses/8. Optimal Policy and Optimal Value Function.mp4
3.2 MB
4. Markov Decision Proccesses/8. Optimal Policy and Optimal Value Function.vtt
4.7 kB
4. Markov Decision Proccesses/9. MDP Summary.mp4
2.4 MB
4. Markov Decision Proccesses/9. MDP Summary.vtt
2.4 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.vtt
4.9 kB
5. Dynamic Programming/10. Dynamic Programming Summary.mp4
8.3 MB
5. Dynamic Programming/10. Dynamic Programming Summary.vtt
8.6 kB
5. Dynamic Programming/2. Gridworld in Code.mp4
12 MB
5. Dynamic Programming/2. Gridworld in Code.vtt
10 kB
5. Dynamic Programming/3. Iterative Policy Evaluation in Code.mp4
12 MB
5. Dynamic Programming/3. Iterative Policy Evaluation in Code.vtt
9.3 kB
5. Dynamic Programming/4. Policy Improvement.mp4
4.5 MB
5. Dynamic Programming/4. Policy Improvement.vtt
4.7 kB
5. Dynamic Programming/5. Policy Iteration.mp4
3.1 MB
5. Dynamic Programming/5. Policy Iteration.vtt
3.2 kB
5. Dynamic Programming/6. Policy Iteration in Code.mp4
7.6 MB
5. Dynamic Programming/6. Policy Iteration in Code.vtt
5.6 kB
5. Dynamic Programming/7. Policy Iteration in Windy Gridworld.mp4
9.1 MB
5. Dynamic Programming/7. Policy Iteration in Windy Gridworld.vtt
7.5 kB
5. Dynamic Programming/8. Value Iteration.mp4
6.2 MB
5. Dynamic Programming/8. Value Iteration.vtt
6.4 kB
5. Dynamic Programming/9. Value Iteration in Code.mp4
4.9 MB
5. Dynamic Programming/9. Value Iteration in Code.vtt
3.0 kB
6. Monte Carlo/1. Monte Carlo Intro.mp4
5.0 MB
6. Monte Carlo/1. Monte Carlo Intro.vtt
5.4 kB
6. Monte Carlo/2. Monte Carlo Policy Evaluation.mp4
8.8 MB
6. Monte Carlo/2. Monte Carlo Policy Evaluation.vtt
9.8 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.vtt
5.6 kB
6. Monte Carlo/4. Policy Evaluation in Windy Gridworld.mp4
7.8 MB
6. Monte Carlo/4. Policy Evaluation in Windy Gridworld.vtt
4.9 kB
6. Monte Carlo/5. Monte Carlo Control.mp4
9.3 MB
6. Monte Carlo/5. Monte Carlo Control.vtt
9.3 kB
6. Monte Carlo/6. Monte Carlo Control in Code.mp4
10 MB
6. Monte Carlo/6. Monte Carlo Control in Code.vtt
5.3 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.vtt
5.0 kB
6. Monte Carlo/8. Monte Carlo Control without Exploring Starts in Code.mp4
8.1 MB
6. Monte Carlo/8. Monte Carlo Control without Exploring Starts in Code.vtt
3.3 kB
6. Monte Carlo/9. Monte Carlo Summary.mp4
5.7 MB
6. Monte Carlo/9. Monte Carlo Summary.vtt
6.5 kB
7. Temporal Difference Learning/1. Temporal Difference Intro.mp4
2.7 MB
7. Temporal Difference Learning/1. Temporal Difference Intro.vtt
3.1 kB
7. Temporal Difference Learning/2. TD(0) Prediction.mp4
5.8 MB
7. Temporal Difference Learning/2. TD(0) Prediction.vtt
5.8 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.vtt
3.6 kB
7. Temporal Difference Learning/4. SARSA.mp4
8.2 MB
7. Temporal Difference Learning/4. SARSA.vtt
8.9 kB
7. Temporal Difference Learning/5. SARSA in Code.mp4
8.8 MB
7. Temporal Difference Learning/5. SARSA in Code.vtt
5.0 kB
7. Temporal Difference Learning/6. Q Learning.mp4
4.8 MB
7. Temporal Difference Learning/6. Q Learning.vtt
5.4 kB
7. Temporal Difference Learning/7. Q Learning in Code.mp4
5.4 MB
7. Temporal Difference Learning/7. Q Learning in Code.vtt
3.1 kB
7. Temporal Difference Learning/8. TD Summary.mp4
3.9 MB
7. Temporal Difference Learning/8. TD Summary.vtt
4.3 kB
8. Approximation Methods/1. Approximation Intro.mp4
6.5 MB
8. Approximation Methods/1. Approximation Intro.vtt
6.5 MB
8. Approximation Methods/2. Linear Models for Reinforcement Learning.mp4
6.5 MB
8. Approximation Methods/2. Linear Models for Reinforcement Learning.vtt
6.8 kB
8. Approximation Methods/3. Features.mp4
6.3 MB
8. Approximation Methods/3. Features.vtt
6.3 kB
8. Approximation Methods/4. Monte Carlo Prediction with Approximation.mp4
2.8 MB
8. Approximation Methods/4. Monte Carlo Prediction with Approximation.vtt
2.2 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.vtt
3.7 kB
8. Approximation Methods/6. TD(0) Semi-Gradient Prediction.mp4
8.3 MB
8. Approximation Methods/6. TD(0) Semi-Gradient Prediction.vtt
5.8 kB
8. Approximation Methods/7. Semi-Gradient SARSA.mp4
4.7 MB
8. Approximation Methods/7. Semi-Gradient SARSA.vtt
5.0 kB
8. Approximation Methods/8. Semi-Gradient SARSA in Code.mp4
11 MB
8. Approximation Methods/8. Semi-Gradient SARSA in Code.vtt
4.9 kB
8. Approximation Methods/9. Course Summary and Next Steps.mp4
13 MB
8. Approximation Methods/9. Course Summary and Next Steps.vtt
14 kB
9. Appendix/1. What is the Appendix.mp4
5.5 MB
9. Appendix/1. What is the Appendix.vtt
3.4 kB
9. Appendix/10. What order should I take your courses in (part 1).mp4
29 MB
9. Appendix/10. What order should I take your courses in (part 1).vtt
15 kB
9. Appendix/11. What order should I take your courses in (part 2).mp4
38 MB
9. Appendix/11. What order should I take your courses in (part 2).vtt
22 kB
9. Appendix/12. Where to get discount coupons and FREE deep learning material.mp4
4.0 MB
9. Appendix/12. Where to get discount coupons and FREE deep learning material.vtt
3.3 kB
9. Appendix/2. Windows-Focused Environment Setup 2018.mp4
186 MB
9. Appendix/2. Windows-Focused Environment Setup 2018.vtt
19 kB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
44 MB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
17 kB
9. Appendix/4. How to Code by Yourself (part 1).mp4
24 MB
9. Appendix/4. How to Code by Yourself (part 1).vtt
27 kB
9. Appendix/5. How to Code by Yourself (part 2).mp4
15 MB
9. Appendix/5. How to Code by Yourself (part 2).vtt
17 kB
9. Appendix/6. How to Succeed in this Course (Long Version).mp4
18 MB
9. Appendix/6. How to Succeed in this Course (Long Version).vtt
14 kB
9. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
39 MB
9. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
30 kB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4
78 MB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt
13 kB
9. Appendix/9. Python 2 vs Python 3.mp4
7.8 MB
9. Appendix/9. Python 2 vs Python 3.vtt
5.9 kB
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