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

• [FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python
• 1. Introduction and Outline/1. Introduction and outline.mp4 10.1 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 10.7 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 KB
• 2. Return of the Multi-Armed Bandit/4. Comparing Different Epsilons.mp4 8 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 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 51.8 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 10.6 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 12.7 MB
• 3. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.vtt 13.4 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 103.7 MB
• 3. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.vtt 21.7 KB
• 3. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.mp4 5 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 10.3 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 10.9 KB
• 3. Build an Intelligent Tic-Tac-Toe Agent/9. Tic Tac Toe Code The Agent.mp4 9 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 19.7 MB
• 4. Markov Decision Proccesses/5. Value Function Introduction.vtt 14.5 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 87.1 MB
• 4. Markov Decision Proccesses/7. Bellman Examples.vtt 25.8 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 11.5 MB
• 5. Dynamic Programming/2. Gridworld in Code.vtt 10 KB
• 5. Dynamic Programming/3. Iterative Policy Evaluation in Code.mp4 12.1 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 KB
• 6. Monte Carlo/1. Monte Carlo Intro.mp4 5 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 10.2 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

No comments yet.