FreeCourseSite com Udemy Artificial Intelligence Reinforcement Learning in Python

FreeCourseSite com Udemy Artificial Intelligence Reinforcement Learning in Python

Name	[FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python	DOWNLOAD Copy Link
Total Size	1.3 GB
Total Files	165
Hash	2C2ECE5A1762052507C7237EFF15C94A55F65C72

/1. Introduction and Outline/
1. Introduction and outline.mp4	10.6 MB
1. Introduction and outline.vtt	12.3 KB
2. What is Reinforcement Learning.mp4	23.0 MB
2. What is Reinforcement Learning.vtt	24.5 KB
3. Where to get the Code.mp4	4.7 MB
3. Where to get the Code.vtt	5.0 KB
4. Strategy for Passing the Course.mp4	9.9 MB
4. Strategy for Passing the Course.vtt	10.9 KB
/2. Return of the Multi-Armed Bandit/
1. Problem Setup and The Explore-Exploit Dilemma.mp4	6.8 MB
1. Problem Setup and The Explore-Exploit Dilemma.vtt	7.3 KB
2. Epsilon-Greedy.mp4	2.9 MB
2. Epsilon-Greedy.vtt	3.0 KB
3. Updating a Sample Mean.mp4	2.3 MB
3. Updating a Sample Mean.vtt	2.1 KB
4. Comparing Different Epsilons.mp4	8.4 MB
4. Comparing Different Epsilons.vtt	5.0 KB
5. Optimistic Initial Values.mp4	5.4 MB
5. Optimistic Initial Values.vtt	3.1 KB
6. UCB1.mp4	8.6 MB
6. UCB1.vtt	7.5 KB
7. Bayesian Thompson Sampling.mp4	54.4 MB
7. Bayesian Thompson Sampling.vtt	11.3 KB
8. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4	11.1 MB
8. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.vtt	5.7 KB
9. Nonstationary Bandits.mp4	7.9 MB
9. Nonstationary Bandits.vtt	7.3 KB
/3. Build an Intelligent Tic-Tac-Toe Agent/
1. Naive Solution to Tic-Tac-Toe.mp4	6.4 MB
1. Naive Solution to Tic-Tac-Toe.vtt	6.7 KB
10. Tic Tac Toe Code Main Loop and Demo.mp4	9.9 MB
10. Tic Tac Toe Code Main Loop and Demo.vtt	8.6 KB
11. Tic Tac Toe Summary.mp4	8.7 MB
11. Tic Tac Toe Summary.vtt	9.6 KB
2. Components of a Reinforcement Learning System.mp4	13.3 MB
2. Components of a Reinforcement Learning System.vtt	13.7 KB
3. Notes on Assigning Rewards.mp4	4.4 MB
3. Notes on Assigning Rewards.vtt	4.6 KB
4. The Value Function and Your First Reinforcement Learning Algorithm.mp4	108.8 MB
4. The Value Function and Your First Reinforcement Learning Algorithm.vtt	22.2 KB
5. Tic Tac Toe Code Outline.mp4	5.3 MB
5. Tic Tac Toe Code Outline.vtt	6.0 KB
6. Tic Tac Toe Code Representing States.mp4	4.6 MB
6. Tic Tac Toe Code Representing States.vtt	4.6 KB
7. Tic Tac Toe Code Enumerating States Recursively.mp4	10.3 MB
7. Tic Tac Toe Code Enumerating States Recursively.vtt	10.6 KB
8. Tic Tac Toe Code The Environment.mp4	10.5 MB
8. Tic Tac Toe Code The Environment.vtt	11.1 KB
9. Tic Tac Toe Code The Agent.mp4	9.4 MB
9. Tic Tac Toe Code The Agent.vtt	10.2 KB
/4. Markov Decision Proccesses/
1. Gridworld.mp4	3.5 MB
1. Gridworld.vtt	3.8 KB
2. The Markov Property.mp4	7.5 MB
2. The Markov Property.vtt	7.8 KB
3. Defining and Formalizing the MDP.mp4	7.0 MB
3. Defining and Formalizing the MDP.vtt	7.3 KB
4. Future Rewards.mp4	5.4 MB
4. Future Rewards.vtt	5.6 KB
5. Value Function Introduction.mp4	20.7 MB
5. Value Function Introduction.vtt	14.8 KB
6. Value Functions.mp4	8.7 MB
6. Value Functions.vtt	11.3 KB
7. Bellman Examples.mp4	91.3 MB
7. Bellman Examples.vtt	26.4 KB
8. Optimal Policy and Optimal Value Function.mp4	3.4 MB
8. Optimal Policy and Optimal Value Function.vtt	4.8 KB
9. MDP Summary.mp4	2.5 MB
9. MDP Summary.vtt	2.5 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.vtt	5.0 KB
10. Dynamic Programming Summary.mp4	8.7 MB
10. Dynamic Programming Summary.vtt	8.8 KB
2. Gridworld in Code.mp4	12.0 MB
2. Gridworld in Code.vtt	10.2 KB
3. Iterative Policy Evaluation in Code.mp4	12.7 MB
3. Iterative Policy Evaluation in Code.vtt	9.5 KB
4. Policy Improvement.mp4	4.8 MB
4. Policy Improvement.vtt	4.8 KB
5. Policy Iteration.mp4	3.3 MB
5. Policy Iteration.vtt	3.2 KB
6. Policy Iteration in Code.mp4	8.0 MB
6. Policy Iteration in Code.vtt	5.7 KB
7. Policy Iteration in Windy Gridworld.mp4	9.5 MB
7. Policy Iteration in Windy Gridworld.vtt	7.7 KB
8. Value Iteration.mp4	6.5 MB
8. Value Iteration.vtt	6.5 KB
9. Value Iteration in Code.mp4	5.1 MB
9. Value Iteration in Code.vtt	3.1 KB
/6. Monte Carlo/
1. Monte Carlo Intro.mp4	5.2 MB
1. Monte Carlo Intro.vtt	5.6 KB
2. Monte Carlo Policy Evaluation.mp4	9.2 MB
2. Monte Carlo Policy Evaluation.vtt	10.1 KB
3. Monte Carlo Policy Evaluation in Code.mp4	8.3 MB
3. Monte Carlo Policy Evaluation in Code.vtt	5.7 KB
4. Policy Evaluation in Windy Gridworld.mp4	8.2 MB
4. Policy Evaluation in Windy Gridworld.vtt	5.0 KB
5. Monte Carlo Control.mp4	9.7 MB
5. Monte Carlo Control.vtt	9.6 KB
6. Monte Carlo Control in Code.mp4	10.7 MB
6. Monte Carlo Control in Code.vtt	5.5 KB
7. Monte Carlo Control without Exploring Starts.mp4	4.9 MB
7. Monte Carlo Control without Exploring Starts.vtt	5.2 KB
8. Monte Carlo Control without Exploring Starts in Code.mp4	8.4 MB
8. Monte Carlo Control without Exploring Starts in Code.vtt	3.4 KB
9. Monte Carlo Summary.mp4	6.0 MB
9. Monte Carlo Summary.vtt	6.6 KB
/7. Temporal Difference Learning/
1. Temporal Difference Intro.mp4	2.9 MB
1. Temporal Difference Intro.vtt	3.1 KB
2. TD(0) Prediction.mp4	6.1 MB
2. TD(0) Prediction.vtt	6.0 KB
3. TD(0) Prediction in Code.mp4	5.6 MB
3. TD(0) Prediction in Code.vtt	3.7 KB
4. SARSA.mp4	8.6 MB
4. SARSA.vtt	9.1 KB
5. SARSA in Code.mp4	9.2 MB
5. SARSA in Code.vtt	5.2 KB
6. Q Learning.mp4	5.1 MB
6. Q Learning.vtt	5.5 KB
7. Q Learning in Code.mp4	5.7 MB
7. Q Learning in Code.vtt	3.2 KB
8. TD Summary.mp4	4.1 MB
8. TD Summary.vtt	4.4 KB
/8. Approximation Methods/
1. Approximation Intro.mp4	6.8 MB
1. Approximation Intro.vtt	6.8 MB
2. Linear Models for Reinforcement Learning.mp4	6.8 MB
2. Linear Models for Reinforcement Learning.vtt	6.9 KB
3. Features.mp4	6.6 MB
3. Features.vtt	6.5 KB
4. Monte Carlo Prediction with Approximation.mp4	3.0 MB
4. Monte Carlo Prediction with Approximation.vtt	2.2 KB
5. Monte Carlo Prediction with Approximation in Code.mp4	6.9 MB
5. Monte Carlo Prediction with Approximation in Code.vtt	3.8 KB
6. TD(0) Semi-Gradient Prediction.mp4	8.8 MB
6. TD(0) Semi-Gradient Prediction.vtt	6.0 KB
7. Semi-Gradient SARSA.mp4	4.9 MB
7. Semi-Gradient SARSA.vtt	5.1 KB
8. Semi-Gradient SARSA in Code.mp4	11.1 MB
8. Semi-Gradient SARSA in Code.vtt	5.1 KB
9. Course Summary and Next Steps.mp4	13.9 MB
9. Course Summary and Next Steps.vtt	14.8 KB
/9. Appendix/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.vtt	3.5 KB
10. What order should I take your courses in (part 1).mp4	30.7 MB
10. What order should I take your courses in (part 1).vtt	15.5 KB
11. What order should I take your courses in (part 2).mp4	39.4 MB
11. What order should I take your courses in (part 2).vtt	22.8 KB
12. Where to get discount coupons and FREE deep learning material.mp4	4.2 MB
12. Where to get discount coupons and FREE deep learning material.vtt	3.4 KB
2. Windows-Focused Environment Setup 2018.mp4	195.4 MB
2. Windows-Focused Environment Setup 2018.vtt	19.4 KB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.0 MB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	17.0 KB
4. How to Code by Yourself (part 1).mp4	25.7 MB
4. How to Code by Yourself (part 1).vtt	28.0 KB
5. How to Code by Yourself (part 2).mp4	15.5 MB
5. How to Code by Yourself (part 2).vtt	17.1 KB
6. How to Succeed in this Course (Long Version).mp4	19.2 MB
6. How to Succeed in this Course (Long Version).vtt	14.0 KB
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.8 MB
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	30.6 KB
8. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
8. Proof that using Jupyter Notebook is the same as not using it.vtt	13.5 KB
9. Python 2 vs Python 3.mp4	8.2 MB
9. Python 2 vs Python 3.vtt	6.0 KB
/
[CourseClub.NET].url	0.1 KB
[FCS Forum].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
Total files 165