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[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python
大小 1.51 GB
文件数 177
Info Hash: 08754A2FD2A4E88C8746EA5804E7C4A6F9545715
收录时间 2025-12-27 08:29:34
更新时间 2026-01-12 23:54:40
文件列表 (177)
1. Welcome/1. Introduction.mp4
34.25 MB
1. Welcome/1. Introduction.vtt
3.93 KB
1. Welcome/2. Where to get the Code.mp4
4.46 MB
1. Welcome/2. Where to get the Code.vtt
4.92 KB
1. Welcome/3. Strategy for Passing the Course.mp4
9.47 MB
1. Welcome/3. Strategy for Passing the Course.vtt
10.66 KB
10. Appendix/1. What is the Appendix.mp4
5.46 MB
10. Appendix/1. What is the Appendix.vtt
3.38 KB
10. Appendix/10. What order should I take your courses in (part 1).mp4
29.32 MB
10. Appendix/10. What order should I take your courses in (part 1).vtt
15.16 KB
10. Appendix/11. What order should I take your courses in (part 2).mp4
37.62 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
4.03 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
186.39 MB
10. Appendix/2. Windows-Focused Environment Setup 2018.vtt
18.94 KB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
43.92 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
16.58 KB
10. Appendix/4. How to Code by Yourself (part 1).mp4
24.53 MB
10. Appendix/4. How to Code by Yourself (part 1).vtt
27.34 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
16.66 KB
10. Appendix/6. How to Succeed in this Course (Long Version).mp4
18.32 MB
10. Appendix/6. How to Succeed in this Course (Long Version).vtt
13.71 KB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
38.96 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
78.32 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt
13.18 KB
10. Appendix/9. Python 2 vs Python 3.mp4
7.84 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
54.62 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
30.98 MB
2. High Level Overview of Reinforcement Learning and Course Outline/3. Course Outline.vtt
6.06 KB
2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.mp4
42.34 MB
2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.vtt
8.74 KB
3. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.mp4
6.48 MB
3. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.vtt
7.12 KB
3. Return of the Multi-Armed Bandit/10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4
10.58 MB
3. Return of the Multi-Armed Bandit/10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.vtt
5.53 KB
3. Return of the Multi-Armed Bandit/11. Nonstationary Bandits.mp4
7.49 MB
3. Return of the Multi-Armed Bandit/11. Nonstationary Bandits.vtt
7.09 KB
3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4
51.19 MB
3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.vtt
10.28 KB
3. Return of the Multi-Armed Bandit/3. Epsilon-Greedy.mp4
2.79 MB
3. Return of the Multi-Armed Bandit/3. Epsilon-Greedy.vtt
2.94 KB
3. Return of the Multi-Armed Bandit/4. Updating a Sample Mean.mp4
2.18 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
24.52 MB
3. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.vtt
5.38 KB
3. Return of the Multi-Armed Bandit/6. Comparing Different Epsilons.mp4
8.02 MB
3. Return of the Multi-Armed Bandit/6. Comparing Different Epsilons.vtt
4.86 KB
3. Return of the Multi-Armed Bandit/7. Optimistic Initial Values.mp4
5.13 MB
3. Return of the Multi-Armed Bandit/7. Optimistic Initial Values.vtt
3.04 KB
3. Return of the Multi-Armed Bandit/8. UCB1.mp4
8.23 MB
3. Return of the Multi-Armed Bandit/8. UCB1.vtt
7.37 KB
3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4
51.85 MB
3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.vtt
11.04 KB
4. Build an Intelligent Tic-Tac-Toe Agent/1. Naive Solution to Tic-Tac-Toe.mp4
6.12 MB
4. Build an Intelligent Tic-Tac-Toe Agent/1. Naive Solution to Tic-Tac-Toe.vtt
6.58 KB
4. Build an Intelligent Tic-Tac-Toe Agent/10. Tic Tac Toe Code Main Loop and Demo.mp4
9.44 MB
4. Build an Intelligent Tic-Tac-Toe Agent/10. Tic Tac Toe Code Main Loop and Demo.vtt
8.39 KB
4. Build an Intelligent Tic-Tac-Toe Agent/11. Tic Tac Toe Summary.mp4
8.31 MB
4. Build an Intelligent Tic-Tac-Toe Agent/11. Tic Tac Toe Summary.vtt
9.33 KB
4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.mp4
19.78 MB
4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.vtt
4.01 KB
4. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.mp4
12.72 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
4.23 MB
4. Build an Intelligent Tic-Tac-Toe Agent/3. Notes on Assigning Rewards.vtt
4.51 KB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4
103.72 MB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.vtt
21.69 KB
4. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.mp4
5.04 MB
4. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.vtt
5.87 KB
4. Build an Intelligent Tic-Tac-Toe Agent/6. Tic Tac Toe Code Representing States.mp4
4.43 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
9.79 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
10.05 MB
4. Build an Intelligent Tic-Tac-Toe Agent/8. Tic Tac Toe Code The Environment.vtt
10.88 KB
4. Build an Intelligent Tic-Tac-Toe Agent/9. Tic Tac Toe Code The Agent.mp4
9.01 MB
4. Build an Intelligent Tic-Tac-Toe Agent/9. Tic Tac Toe Code The Agent.vtt
9.96 KB
5. Markov Decision Proccesses/1. Gridworld.mp4
3.36 MB
5. Markov Decision Proccesses/1. Gridworld.vtt
3.69 KB
5. Markov Decision Proccesses/2. The Markov Property.mp4
7.19 MB
5. Markov Decision Proccesses/2. The Markov Property.vtt
7.66 KB
5. Markov Decision Proccesses/3. Defining and Formalizing the MDP.mp4
6.64 MB
5. Markov Decision Proccesses/3. Defining and Formalizing the MDP.vtt
7.16 KB
5. Markov Decision Proccesses/4. Future Rewards.mp4
5.18 MB
5. Markov Decision Proccesses/4. Future Rewards.vtt
5.47 KB
5. Markov Decision Proccesses/5. Value Function Introduction.mp4
19.73 MB
5. Markov Decision Proccesses/5. Value Function Introduction.vtt
14.5 KB
5. Markov Decision Proccesses/6. Value Functions.mp4
8.28 MB
5. Markov Decision Proccesses/6. Value Functions.vtt
11.03 KB
5. Markov Decision Proccesses/7. Bellman Examples.mp4
87.12 MB
5. Markov Decision Proccesses/7. Bellman Examples.vtt
25.79 KB
5. Markov Decision Proccesses/8. Optimal Policy and Optimal Value Function.mp4
3.24 MB
5. Markov Decision Proccesses/8. Optimal Policy and Optimal Value Function.vtt
4.69 KB
5. Markov Decision Proccesses/9. MDP Summary.mp4
2.42 MB
5. Markov Decision Proccesses/9. MDP Summary.vtt
2.45 KB
6. Dynamic Programming/1. Intro to Dynamic Programming and Iterative Policy Evaluation.mp4
4.84 MB
6. Dynamic Programming/1. Intro to Dynamic Programming and Iterative Policy Evaluation.vtt
4.91 KB
6. Dynamic Programming/10. Value Iteration in Code.mp4
4.89 MB
6. Dynamic Programming/10. Value Iteration in Code.vtt
3.04 KB
6. Dynamic Programming/11. Dynamic Programming Summary.mp4
8.32 MB
6. Dynamic Programming/11. Dynamic Programming Summary.vtt
8.57 KB
6. Dynamic Programming/2. Gridworld in Code.mp4
11.47 MB
6. Dynamic Programming/2. Gridworld in Code.vtt
9.96 KB
6. Dynamic Programming/3. Designing Your RL Program.mp4
22.35 MB
6. Dynamic Programming/3. Designing Your RL Program.vtt
6.23 KB
6. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4
12.07 MB
6. Dynamic Programming/4. Iterative Policy Evaluation in Code.vtt
9.32 KB
6. Dynamic Programming/5. Policy Improvement.mp4
4.53 MB
6. Dynamic Programming/5. Policy Improvement.vtt
4.7 KB
6. Dynamic Programming/6. Policy Iteration.mp4
3.13 MB
6. Dynamic Programming/6. Policy Iteration.vtt
3.17 KB
6. Dynamic Programming/7. Policy Iteration in Code.mp4
7.62 MB
6. Dynamic Programming/7. Policy Iteration in Code.vtt
5.56 KB
6. Dynamic Programming/8. Policy Iteration in Windy Gridworld.mp4
9.11 MB
6. Dynamic Programming/8. Policy Iteration in Windy Gridworld.vtt
7.49 KB
6. Dynamic Programming/9. Value Iteration.mp4
6.19 MB
6. Dynamic Programming/9. Value Iteration.vtt
6.36 KB
7. Monte Carlo/1. Monte Carlo Intro.mp4
4.97 MB
7. Monte Carlo/1. Monte Carlo Intro.vtt
5.44 KB
7. Monte Carlo/2. Monte Carlo Policy Evaluation.mp4
8.75 MB
7. Monte Carlo/2. Monte Carlo Policy Evaluation.vtt
9.83 KB
7. Monte Carlo/3. Monte Carlo Policy Evaluation in Code.mp4
7.92 MB
7. Monte Carlo/3. Monte Carlo Policy Evaluation in Code.vtt
5.57 KB
7. Monte Carlo/4. Policy Evaluation in Windy Gridworld.mp4
7.82 MB
7. Monte Carlo/4. Policy Evaluation in Windy Gridworld.vtt
4.85 KB
7. Monte Carlo/5. Monte Carlo Control.mp4
9.26 MB
7. Monte Carlo/5. Monte Carlo Control.vtt
9.34 KB
7. Monte Carlo/6. Monte Carlo Control in Code.mp4
10.17 MB
7. Monte Carlo/6. Monte Carlo Control in Code.vtt
5.33 KB
7. Monte Carlo/7. Monte Carlo Control without Exploring Starts.mp4
4.63 MB
7. Monte Carlo/7. Monte Carlo Control without Exploring Starts.vtt
5.04 KB
7. Monte Carlo/8. Monte Carlo Control without Exploring Starts in Code.mp4
8.06 MB
7. Monte Carlo/8. Monte Carlo Control without Exploring Starts in Code.vtt
3.32 KB
7. Monte Carlo/9. Monte Carlo Summary.mp4
5.72 MB
7. Monte Carlo/9. Monte Carlo Summary.vtt
6.47 KB
8. Temporal Difference Learning/1. Temporal Difference Intro.mp4
2.73 MB
8. Temporal Difference Learning/1. Temporal Difference Intro.vtt
3.05 KB
8. Temporal Difference Learning/2. TD(0) Prediction.mp4
5.83 MB
8. Temporal Difference Learning/2. TD(0) Prediction.vtt
5.84 KB
8. Temporal Difference Learning/3. TD(0) Prediction in Code.mp4
5.33 MB
8. Temporal Difference Learning/3. TD(0) Prediction in Code.vtt
3.62 KB
8. Temporal Difference Learning/4. SARSA.mp4
8.21 MB
8. Temporal Difference Learning/4. SARSA.vtt
8.85 KB
8. Temporal Difference Learning/5. SARSA in Code.mp4
8.82 MB
8. Temporal Difference Learning/5. SARSA in Code.vtt
5.05 KB
8. Temporal Difference Learning/6. Q Learning.mp4
4.85 MB
8. Temporal Difference Learning/6. Q Learning.vtt
5.37 KB
8. Temporal Difference Learning/7. Q Learning in Code.mp4
5.43 MB
8. Temporal Difference Learning/7. Q Learning in Code.vtt
3.14 KB
8. Temporal Difference Learning/8. TD Summary.mp4
3.95 MB
8. Temporal Difference Learning/8. TD Summary.vtt
4.27 KB
9. Approximation Methods/1. Approximation Intro.mp4
6.47 MB
9. Approximation Methods/1. Approximation Intro.vtt
7.27 KB
9. Approximation Methods/2. Linear Models for Reinforcement Learning.mp4
6.47 MB
9. Approximation Methods/2. Linear Models for Reinforcement Learning.vtt
6.76 KB
9. Approximation Methods/3. Features.mp4
6.24 MB
9. Approximation Methods/3. Features.vtt
6.34 KB
9. Approximation Methods/4. Monte Carlo Prediction with Approximation.mp4
2.85 MB
9. Approximation Methods/4. Monte Carlo Prediction with Approximation.vtt
2.19 KB
9. Approximation Methods/5. Monte Carlo Prediction with Approximation in Code.mp4
6.57 MB
9. Approximation Methods/5. Monte Carlo Prediction with Approximation in Code.vtt
3.67 KB
9. Approximation Methods/6. TD(0) Semi-Gradient Prediction.mp4
8.36 MB
9. Approximation Methods/6. TD(0) Semi-Gradient Prediction.vtt
5.82 KB
9. Approximation Methods/7. Semi-Gradient SARSA.mp4
4.7 MB
9. Approximation Methods/7. Semi-Gradient SARSA.vtt
4.98 KB
9. Approximation Methods/8. Semi-Gradient SARSA in Code.mp4
10.61 MB
9. Approximation Methods/8. Semi-Gradient SARSA in Code.vtt
4.93 KB
9. Approximation Methods/9. Course Summary and Next Steps.mp4
13.25 MB
9. Approximation Methods/9. Course Summary and Next Steps.vtt
14.48 KB
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