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[DesireCourse.Net] Udemy - Artificial Intelligence Reinforcement Learning in Python
大小 1.9 GB
文件数 199
Info Hash: 186FE32040DA9247B2EEAF42415F6D0019895524
收录时间 2025-12-26 09:43:04
更新时间 2025-12-26 10:48:58
文件列表 (199)
1. Welcome/1. Introduction.mp4
34.24 MB
1. Welcome/1. Introduction.srt
4.17 KB
1. Welcome/2. Where to get the Code.mp4
4.45 MB
1. Welcome/2. Where to get the Code.srt
5.41 KB
1. Welcome/3. Strategy for Passing the Course.mp4
9.48 MB
1. Welcome/3. Strategy for Passing the Course.srt
11.77 KB
1. Welcome/4. Course Outline.mp4
30.97 MB
1. Welcome/4. Course Outline.srt
6.81 KB
10. Stock Trading Project with Reinforcement Learning/1. Stock Trading Project Section Introduction.mp4
26.77 MB
10. Stock Trading Project with Reinforcement Learning/1. Stock Trading Project Section Introduction.srt
6.84 KB
10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4
52.01 MB
10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.srt
15.69 KB
10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4
44.89 MB
10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.srt
12.01 KB
10. Stock Trading Project with Reinforcement Learning/4. Design of the Program.mp4
23.31 MB
10. Stock Trading Project with Reinforcement Learning/4. Design of the Program.srt
8.51 KB
10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4
49.72 MB
10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.srt
9.63 KB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4
65.29 MB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.srt
11.75 KB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 3.mp4
33.72 MB
10. Stock Trading Project with Reinforcement Learning/7. Code pt 3.srt
5.41 KB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4
49.08 MB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.srt
8.04 KB
10. Stock Trading Project with Reinforcement Learning/9. Stock Trading Project Discussion.mp4
15.78 MB
10. Stock Trading Project with Reinforcement Learning/9. Stock Trading Project Discussion.srt
4.35 KB
11. Appendix FAQ/1. What is the Appendix.mp4
5.45 MB
11. Appendix FAQ/1. What is the Appendix.srt
3.72 KB
11. Appendix FAQ/10. What order should I take your courses in (part 1).mp4
29.32 MB
11. Appendix FAQ/10. What order should I take your courses in (part 1).srt
16.03 KB
11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4
37.62 MB
11. Appendix FAQ/11. What order should I take your courses in (part 2).srt
23.04 KB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4
37.83 MB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.srt
7.87 KB
11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4
186.38 MB
11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.srt
20.1 KB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
43.92 MB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
18.33 KB
11. Appendix FAQ/4. How to Code by Yourself (part 1).mp4
24.54 MB
11. Appendix FAQ/4. How to Code by Yourself (part 1).srt
30.21 KB
11. Appendix FAQ/5. How to Code by Yourself (part 2).mp4
14.8 MB
11. Appendix FAQ/5. How to Code by Yourself (part 2).srt
18.42 KB
11. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4
18.31 MB
11. Appendix FAQ/6. How to Succeed in this Course (Long Version).srt
14.55 KB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
38.95 MB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
31.79 KB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4
78.32 MB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.srt
14.12 KB
11. Appendix FAQ/9. Python 2 vs Python 3.mp4
7.84 MB
11. Appendix FAQ/9. Python 2 vs Python 3.srt
6.1 KB
2. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.mp4
6.47 MB
2. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.srt
7.8 KB
2. Return of the Multi-Armed Bandit/10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4
10.57 MB
2. Return of the Multi-Armed Bandit/10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.srt
6.09 KB
2. Return of the Multi-Armed Bandit/11. Nonstationary Bandits.mp4
7.48 MB
2. Return of the Multi-Armed Bandit/11. Nonstationary Bandits.srt
7.79 KB
2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.mp4
33.92 MB
2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.srt
9.12 KB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4
51.18 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.srt
10.92 KB
2. Return of the Multi-Armed Bandit/3. Epsilon-Greedy.mp4
2.78 MB
2. Return of the Multi-Armed Bandit/3. Epsilon-Greedy.srt
3.21 KB
2. Return of the Multi-Armed Bandit/4. Updating a Sample Mean.mp4
2.18 MB
2. Return of the Multi-Armed Bandit/4. Updating a Sample Mean.srt
2.17 KB
2. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.mp4
24.51 MB
2. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.srt
5.61 KB
2. Return of the Multi-Armed Bandit/6. Comparing Different Epsilons.mp4
8.01 MB
2. Return of the Multi-Armed Bandit/6. Comparing Different Epsilons.srt
5.32 KB
2. Return of the Multi-Armed Bandit/7. Optimistic Initial Values.mp4
15.84 MB
2. Return of the Multi-Armed Bandit/7. Optimistic Initial Values.srt
3.06 KB
2. Return of the Multi-Armed Bandit/8. UCB1.mp4
8.23 MB
2. Return of the Multi-Armed Bandit/8. UCB1.srt
8.13 KB
2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4
51.85 MB
2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.srt
11.8 KB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4
54.62 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.srt
10.92 KB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4
37.1 MB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.srt
7.95 KB
3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.mp4
42.34 MB
3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.srt
9.15 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.srt
7.21 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.srt
9.25 KB
4. Build an Intelligent Tic-Tac-Toe Agent/11. Tic Tac Toe Summary.mp4
8.32 MB
4. Build an Intelligent Tic-Tac-Toe Agent/11. Tic Tac Toe Summary.srt
10.23 KB
4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.mp4
19.77 MB
4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.srt
4.63 KB
4. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.mp4
12.71 MB
4. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.srt
14.79 KB
4. Build an Intelligent Tic-Tac-Toe Agent/3. Notes on Assigning Rewards.mp4
4.22 MB
4. Build an Intelligent Tic-Tac-Toe Agent/3. Notes on Assigning Rewards.srt
4.94 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.srt
22.78 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.srt
6.42 KB
4. Build an Intelligent Tic-Tac-Toe Agent/6. Tic Tac Toe Code Representing States.mp4
4.42 MB
4. Build an Intelligent Tic-Tac-Toe Agent/6. Tic Tac Toe Code Representing States.srt
4.92 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.srt
11.33 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.srt
11.97 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.srt
10.95 KB
5. Markov Decision Proccesses/1. Gridworld.mp4
3.36 MB
5. Markov Decision Proccesses/1. Gridworld.srt
4.04 KB
5. Markov Decision Proccesses/2. The Markov Property.mp4
7.18 MB
5. Markov Decision Proccesses/2. The Markov Property.srt
8.43 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.srt
7.87 KB
5. Markov Decision Proccesses/4. Future Rewards.mp4
5.17 MB
5. Markov Decision Proccesses/4. Future Rewards.srt
6.01 KB
5. Markov Decision Proccesses/5. Value Function Introduction.mp4
19.72 MB
5. Markov Decision Proccesses/5. Value Function Introduction.srt
15.63 KB
5. Markov Decision Proccesses/6. Value Functions.mp4
8.29 MB
5. Markov Decision Proccesses/6. Value Functions.srt
11.76 KB
5. Markov Decision Proccesses/7. Bellman Examples.mp4
87.12 MB
5. Markov Decision Proccesses/7. Bellman Examples.srt
27.67 KB
5. Markov Decision Proccesses/8. Optimal Policy and Optimal Value Function.mp4
3.23 MB
5. Markov Decision Proccesses/8. Optimal Policy and Optimal Value Function.srt
4.96 KB
5. Markov Decision Proccesses/9. MDP Summary.mp4
5.67 MB
5. Markov Decision Proccesses/9. MDP Summary.srt
1.99 KB
6. Dynamic Programming/1. Intro to Dynamic Programming and Iterative Policy Evaluation.mp4
4.83 MB
6. Dynamic Programming/1. Intro to Dynamic Programming and Iterative Policy Evaluation.srt
5.37 KB
6. Dynamic Programming/10. Value Iteration in Code.mp4
4.89 MB
6. Dynamic Programming/10. Value Iteration in Code.srt
3.34 KB
6. Dynamic Programming/11. Dynamic Programming Summary.mp4
8.31 MB
6. Dynamic Programming/11. Dynamic Programming Summary.srt
9.39 KB
6. Dynamic Programming/2. Gridworld in Code.mp4
11.46 MB
6. Dynamic Programming/2. Gridworld in Code.srt
10.98 KB
6. Dynamic Programming/3. Designing Your RL Program.mp4
22.34 MB
6. Dynamic Programming/3. Designing Your RL Program.srt
6.64 KB
6. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4
12.06 MB
6. Dynamic Programming/4. Iterative Policy Evaluation in Code.srt
10.24 KB
6. Dynamic Programming/5. Policy Improvement.mp4
4.53 MB
6. Dynamic Programming/5. Policy Improvement.srt
5.17 KB
6. Dynamic Programming/6. Policy Iteration.mp4
3.14 MB
6. Dynamic Programming/6. Policy Iteration.srt
3.47 KB
6. Dynamic Programming/7. Policy Iteration in Code.mp4
7.62 MB
6. Dynamic Programming/7. Policy Iteration in Code.srt
6.08 KB
6. Dynamic Programming/8. Policy Iteration in Windy Gridworld.mp4
9.1 MB
6. Dynamic Programming/8. Policy Iteration in Windy Gridworld.srt
8.23 KB
6. Dynamic Programming/9. Value Iteration.mp4
6.18 MB
6. Dynamic Programming/9. Value Iteration.srt
6.97 KB
7. Monte Carlo/1. Monte Carlo Intro.mp4
4.97 MB
7. Monte Carlo/1. Monte Carlo Intro.srt
5.96 KB
7. Monte Carlo/2. Monte Carlo Policy Evaluation.mp4
8.75 MB
7. Monte Carlo/2. Monte Carlo Policy Evaluation.srt
10.84 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.srt
6.12 KB
7. Monte Carlo/4. Policy Evaluation in Windy Gridworld.mp4
7.81 MB
7. Monte Carlo/4. Policy Evaluation in Windy Gridworld.srt
5.3 KB
7. Monte Carlo/5. Monte Carlo Control.mp4
9.26 MB
7. Monte Carlo/5. Monte Carlo Control.srt
10.24 KB
7. Monte Carlo/6. Monte Carlo Control in Code.mp4
10.17 MB
7. Monte Carlo/6. Monte Carlo Control in Code.srt
5.83 KB
7. Monte Carlo/7. Monte Carlo Control without Exploring Starts.mp4
4.62 MB
7. Monte Carlo/7. Monte Carlo Control without Exploring Starts.srt
5.53 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.srt
3.63 KB
7. Monte Carlo/9. Monte Carlo Summary.mp4
5.71 MB
7. Monte Carlo/9. Monte Carlo Summary.srt
7.1 KB
8. Temporal Difference Learning/1. Temporal Difference Intro.mp4
2.73 MB
8. Temporal Difference Learning/1. Temporal Difference Intro.srt
3.33 KB
8. Temporal Difference Learning/2. TD(0) Prediction.mp4
5.82 MB
8. Temporal Difference Learning/2. TD(0) Prediction.srt
6.38 KB
8. Temporal Difference Learning/3. TD(0) Prediction in Code.mp4
5.32 MB
8. Temporal Difference Learning/3. TD(0) Prediction in Code.srt
3.97 KB
8. Temporal Difference Learning/4. SARSA.mp4
8.2 MB
8. Temporal Difference Learning/4. SARSA.srt
9.7 KB
8. Temporal Difference Learning/5. SARSA in Code.mp4
8.82 MB
8. Temporal Difference Learning/5. SARSA in Code.srt
5.53 KB
8. Temporal Difference Learning/6. Q Learning.mp4
4.84 MB
8. Temporal Difference Learning/6. Q Learning.srt
5.82 KB
8. Temporal Difference Learning/7. Q Learning in Code.mp4
5.42 MB
8. Temporal Difference Learning/7. Q Learning in Code.srt
3.46 KB
8. Temporal Difference Learning/8. TD Summary.mp4
3.94 MB
8. Temporal Difference Learning/8. TD Summary.srt
4.66 KB
9. Approximation Methods/1. Approximation Intro.mp4
6.47 MB
9. Approximation Methods/1. Approximation Intro.srt
7.99 KB
9. Approximation Methods/2. Linear Models for Reinforcement Learning.mp4
6.47 MB
9. Approximation Methods/2. Linear Models for Reinforcement Learning.srt
7.39 KB
9. Approximation Methods/3. Features.mp4
6.25 MB
9. Approximation Methods/3. Features.srt
6.94 KB
9. Approximation Methods/4. Monte Carlo Prediction with Approximation.mp4
2.85 MB
9. Approximation Methods/4. Monte Carlo Prediction with Approximation.srt
2.34 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.srt
4.01 KB
9. Approximation Methods/6. TD(0) Semi-Gradient Prediction.mp4
8.36 MB
9. Approximation Methods/6. TD(0) Semi-Gradient Prediction.srt
6.36 KB
9. Approximation Methods/7. Semi-Gradient SARSA.mp4
4.7 MB
9. Approximation Methods/7. Semi-Gradient SARSA.srt
5.47 KB
9. Approximation Methods/8. Semi-Gradient SARSA in Code.mp4
10.61 MB
9. Approximation Methods/8. Semi-Gradient SARSA in Code.srt
5.4 KB
9. Approximation Methods/9. Course Summary and Next Steps.mp4
13.24 MB
9. Approximation Methods/9. Course Summary and Next Steps.srt
15.95 KB
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