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| 0101.Course Overview.mp4 |
4.74Мб |
| 0101.Course Overview.srt |
2.85Кб |
| 0201.Module Overview .mp4 |
2.86Мб |
| 0201.Module Overview .srt |
2.58Кб |
| 0202.Prerequisites and Course Overview.mp4 |
3.44Мб |
| 0202.Prerequisites and Course Overview.srt |
3.77Кб |
| 0203.Supervised and Unsupervised Machine Learning Techniques.mp4 |
7.16Мб |
| 0203.Supervised and Unsupervised Machine Learning Techniques.srt |
7.59Кб |
| 0204.Introducing Reinforcement Learning.mp4 |
10.90Мб |
| 0204.Introducing Reinforcement Learning.srt |
9.48Кб |
| 0205.Reinforcement Learning vs. Supervised and Unsupervised Learning.mp4 |
5.47Мб |
| 0205.Reinforcement Learning vs. Supervised and Unsupervised Learning.srt |
3.65Кб |
| 0206.Modeling the Environment as a Markov Decision Process.mp4 |
9.35Мб |
| 0206.Modeling the Environment as a Markov Decision Process.srt |
9.41Кб |
| 0207.Reinforcement Learning Applications.mp4 |
3.90Мб |
| 0207.Reinforcement Learning Applications.srt |
4.76Кб |
| 0208.Understanding Policy Search.mp4 |
10.49Мб |
| 0208.Understanding Policy Search.srt |
10.75Кб |
| 0209.Policy Search Algorithms.mp4 |
5.88Мб |
| 0209.Policy Search Algorithms.srt |
6.13Кб |
| 0301.Module Overview.mp4 |
1.77Мб |
| 0301.Module Overview.srt |
1.83Кб |
| 0302.Dynamic Programming.mp4 |
4.79Мб |
| 0302.Dynamic Programming.srt |
3.89Кб |
| 0303.Demo 8-Queens Algorithm Using Dynamic Programming, Helper Functions.mp4 |
13.32Мб |
| 0303.Demo 8-Queens Algorithm Using Dynamic Programming, Helper Functions.srt |
9.52Кб |
| 0304.Demo 8-Queens Algorithm Using Dynamic Programming, Place Queens.mp4 |
11.53Мб |
| 0304.Demo 8-Queens Algorithm Using Dynamic Programming, Place Queens.srt |
7.25Кб |
| 0305.Policy Search Techniques Q-learning and SARSA.mp4 |
3.39Мб |
| 0305.Policy Search Techniques Q-learning and SARSA.srt |
3.46Кб |
| 0306.Intuition Behind Q-learning.mp4 |
14.45Мб |
| 0306.Intuition Behind Q-learning.srt |
12.18Кб |
| 0307.Q-learning Using the Temporal Difference Method and SARSA.mp4 |
7.92Мб |
| 0307.Q-learning Using the Temporal Difference Method and SARSA.srt |
7.91Кб |
| 0308.Exploring State Space.mp4 |
11.77Мб |
| 0308.Exploring State Space.srt |
9.95Кб |
| 0309.Demo Q-learning for Shortest Path Initialization.mp4 |
9.21Мб |
| 0309.Demo Q-learning for Shortest Path Initialization.srt |
6.43Кб |
| 0310.Demo Q-learning for Shortest Path Implementation.mp4 |
12.35Мб |
| 0310.Demo Q-learning for Shortest Path Implementation.srt |
6.85Кб |
| 0311.Intuitive Differences Between the Temporal Difference Method and SARSA.mp4 |
6.67Мб |
| 0311.Intuitive Differences Between the Temporal Difference Method and SARSA.srt |
4.94Кб |
| 0312.Q-values as a Memoization Technique.mp4 |
5.31Мб |
| 0312.Q-values as a Memoization Technique.srt |
3.60Кб |
| 0401.Module Overview.mp4 |
1.69Мб |
| 0401.Module Overview.srt |
1.62Кб |
| 0402.Exploring Reinforcement Learning Platforms.mp4 |
11.89Мб |
| 0402.Exploring Reinforcement Learning Platforms.srt |
5.73Кб |
| 0403.Exploring Environments in the Open AI Gym.mp4 |
7.18Мб |
| 0403.Exploring Environments in the Open AI Gym.srt |
4.21Кб |
| 0404.Demo Q-learning Using SARSA in the Frozen Lake Environment.mp4 |
14.41Мб |
| 0404.Demo Q-learning Using SARSA in the Frozen Lake Environment.srt |
9.40Кб |
| 0405.Demo Q-learning to Balance a Pole on a Cart.mp4 |
12.39Мб |
| 0405.Demo Q-learning to Balance a Pole on a Cart.srt |
7.38Кб |
| 0406.Demo Q-learning to Balance a Pole on a Cart Simulation.mp4 |
14.77Мб |
| 0406.Demo Q-learning to Balance a Pole on a Cart Simulation.srt |
9.29Кб |
| 0407.Summary and Further Study.mp4 |
2.50Мб |
| 0407.Summary and Further Study.srt |
2.99Кб |