[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python

• [Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python
• 1. Welcome/1. Introduction.mp4 34.2 MB
• 1. Welcome/1. Introduction.vtt 3.9 KB
• 1. Welcome/2. Where to get the Code.mp4 4.5 MB
• 1. Welcome/2. Where to get the Code.vtt 4.9 KB
• 1. Welcome/3. Strategy for Passing the Course.mp4 9.5 MB
• 1. Welcome/3. Strategy for Passing the Course.vtt 10.7 KB
• 10. Appendix/1. What is the Appendix.mp4 5.5 MB
• 10. Appendix/1. What is the Appendix.vtt 3.4 KB
• 10. Appendix/10. What order should I take your courses in (part 1).mp4 29.3 MB
• 10. Appendix/10. What order should I take your courses in (part 1).vtt 15.2 KB
• 10. Appendix/11. What order should I take your courses in (part 2).mp4 37.6 MB
• 10. Appendix/11. What order should I take your courses in (part 2).vtt 22.3 KB
• 10. Appendix/12. Where to get discount coupons and FREE deep learning material.mp4 4 MB
• 10. Appendix/12. Where to get discount coupons and FREE deep learning material.vtt 3.3 KB
• 10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 186.4 MB
• 10. Appendix/2. Windows-Focused Environment Setup 2018.vtt 18.9 KB
• 10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.9 MB
• 10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 16.6 KB
• 10. Appendix/4. How to Code by Yourself (part 1).mp4 24.5 MB
• 10. Appendix/4. How to Code by Yourself (part 1).vtt 27.3 KB
• 10. Appendix/5. How to Code by Yourself (part 2).mp4 14.8 MB
• 10. Appendix/5. How to Code by Yourself (part 2).vtt 16.7 KB
• 10. Appendix/6. How to Succeed in this Course (Long Version).mp4 18.3 MB
• 10. Appendix/6. How to Succeed in this Course (Long Version).vtt 13.7 KB
• 10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39 MB
• 10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 29.9 KB
• 10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB
• 10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 13.2 KB
• 10. Appendix/9. Python 2 vs Python 3.mp4 7.8 MB
• 10. Appendix/9. Python 2 vs Python 3.vtt 5.9 KB
• 2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.mp4 54.6 MB
• 2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.vtt 42.9 MB
• 2. High Level Overview of Reinforcement Learning and Course Outline/2. On Unusual or Unexpected Strategies of RL.mp4 37.1 MB
• 2. High Level Overview of Reinforcement Learning and Course Outline/2. On Unusual or Unexpected Strategies of RL.vtt 7.5 KB
• 2. High Level Overview of Reinforcement Learning and Course Outline/3. Course Outline.mp4 31 MB
• 2. High Level Overview of Reinforcement Learning and Course Outline/3. Course Outline.vtt 6.1 KB
• 2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.mp4 42.3 MB
• 2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.vtt 8.7 KB
• 3. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.mp4 6.5 MB
• 3. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.vtt 7.1 KB
• 3. Return of the Multi-Armed Bandit/10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 10.6 MB
• 3. Return of the Multi-Armed Bandit/10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.vtt 5.5 KB
• 3. Return of the Multi-Armed Bandit/11. Nonstationary Bandits.mp4 7.5 MB
• 3. Return of the Multi-Armed Bandit/11. Nonstationary Bandits.vtt 7.1 KB
• 3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 51.2 MB
• 3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.vtt 10.3 KB
• 3. Return of the Multi-Armed Bandit/3. Epsilon-Greedy.mp4 2.8 MB
• 3. Return of the Multi-Armed Bandit/3. Epsilon-Greedy.vtt 2.9 KB
• 3. Return of the Multi-Armed Bandit/4. Updating a Sample Mean.mp4 2.2 MB
• 3. Return of the Multi-Armed Bandit/4. Updating a Sample Mean.vtt 2 KB
• 3. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.mp4 24.5 MB
• 3. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.vtt 5.4 KB
• 3. Return of the Multi-Armed Bandit/6. Comparing Different Epsilons.mp4 8 MB
• 3. Return of the Multi-Armed Bandit/6. Comparing Different Epsilons.vtt 4.9 KB
• 3. Return of the Multi-Armed Bandit/7. Optimistic Initial Values.mp4 5.1 MB
• 3. Return of the Multi-Armed Bandit/7. Optimistic Initial Values.vtt 3 KB
• 3. Return of the Multi-Armed Bandit/8. UCB1.mp4 8.2 MB
• 3. Return of the Multi-Armed Bandit/8. UCB1.vtt 7.4 KB
• 3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 51.8 MB
• 3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.vtt 11 KB
• 4. Build an Intelligent Tic-Tac-Toe Agent/1. Naive Solution to Tic-Tac-Toe.mp4 6.1 MB
• 4. Build an Intelligent Tic-Tac-Toe Agent/1. Naive Solution to Tic-Tac-Toe.vtt 6.6 KB
• 4. Build an Intelligent Tic-Tac-Toe Agent/10. Tic Tac Toe Code Main Loop and Demo.mp4 9.4 MB
• 4. Build an Intelligent Tic-Tac-Toe Agent/10. Tic Tac Toe Code Main Loop and Demo.vtt 8.4 KB
• 4. Build an Intelligent Tic-Tac-Toe Agent/11. Tic Tac Toe Summary.mp4 8.3 MB
• 4. Build an Intelligent Tic-Tac-Toe Agent/11. Tic Tac Toe Summary.vtt 9.3 KB
• 4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.mp4 19.8 MB
• 4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.vtt 4 KB
• 4. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.mp4 12.7 MB
• 4. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.vtt 13.4 KB
• 4. Build an Intelligent Tic-Tac-Toe Agent/3. Notes on Assigning Rewards.mp4 4.2 MB
• 4. Build an Intelligent Tic-Tac-Toe Agent/3. Notes on Assigning Rewards.vtt 4.5 KB
• 4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 103.7 MB
• 4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.vtt 21.7 KB
• 4. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.mp4 5 MB
• 4. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.vtt 5.9 KB
• 4. Build an Intelligent Tic-Tac-Toe Agent/6. Tic Tac Toe Code Representing States.mp4 4.4 MB
• 4. Build an Intelligent Tic-Tac-Toe Agent/6. Tic Tac Toe Code Representing States.vtt 4.5 KB
• 4. Build an Intelligent Tic-Tac-Toe Agent/7. Tic Tac Toe Code Enumerating States Recursively.mp4 9.8 MB
• 4. Build an Intelligent Tic-Tac-Toe Agent/7. Tic Tac Toe Code Enumerating States Recursively.vtt 10.3 KB
• 4. Build an Intelligent Tic-Tac-Toe Agent/8. Tic Tac Toe Code The Environment.mp4 10 MB
• 4. Build an Intelligent Tic-Tac-Toe Agent/8. Tic Tac Toe Code The Environment.vtt 10.9 KB
• 4. Build an Intelligent Tic-Tac-Toe Agent/9. Tic Tac Toe Code The Agent.mp4 9 MB
• 4. Build an Intelligent Tic-Tac-Toe Agent/9. Tic Tac Toe Code The Agent.vtt 10 KB
• 5. Markov Decision Proccesses/1. Gridworld.mp4 3.4 MB
• 5. Markov Decision Proccesses/1. Gridworld.vtt 3.7 KB
• 5. Markov Decision Proccesses/2. The Markov Property.mp4 7.2 MB
• 5. Markov Decision Proccesses/2. The Markov Property.vtt 7.7 KB
• 5. Markov Decision Proccesses/3. Defining and Formalizing the MDP.mp4 6.6 MB
• 5. Markov Decision Proccesses/3. Defining and Formalizing the MDP.vtt 7.2 KB
• 5. Markov Decision Proccesses/4. Future Rewards.mp4 5.2 MB
• 5. Markov Decision Proccesses/4. Future Rewards.vtt 5.5 KB
• 5. Markov Decision Proccesses/5. Value Function Introduction.mp4 19.7 MB
• 5. Markov Decision Proccesses/5. Value Function Introduction.vtt 14.5 KB
• 5. Markov Decision Proccesses/6. Value Functions.mp4 8.3 MB
• 5. Markov Decision Proccesses/6. Value Functions.vtt 11 KB
• 5. Markov Decision Proccesses/7. Bellman Examples.mp4 87.1 MB
• 5. Markov Decision Proccesses/7. Bellman Examples.vtt 25.8 KB
• 5. Markov Decision Proccesses/8. Optimal Policy and Optimal Value Function.mp4 3.2 MB

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