[Tutorialsplanet.NET] Udemy - Deep Reinforcement Learning 2.0 - 磁力狗

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2. Part 2 - Twin Delayed DDPG Theory/3. The Policy Learning part.mp4 281.6 MB
3. Part 3 - Twin Delayed DDPG Implementation/3. Implementation - Step 2.mp4 212.0 MB
3. Part 3 - Twin Delayed DDPG Implementation/5. Implementation - Step 4.mp4 204.3 MB
4. The Final Demo!/1. Demo - Training.mp4 196.3 MB
3. Part 3 - Twin Delayed DDPG Implementation/16. Implementation - Step 15.mp4 188.3 MB
3. Part 3 - Twin Delayed DDPG Implementation/19. Implementation - Step 18.mp4 163.8 MB
3. Part 3 - Twin Delayed DDPG Implementation/4. Implementation - Step 3.mp4 142.6 MB
2. Part 2 - Twin Delayed DDPG Theory/2. The Q-Learning part.mp4 142.6 MB
4. The Final Demo!/2. Demo - Inference.mp4 130.4 MB
1. Part 1 - Fundamentals/1. Welcome.mp4 129.8 MB
3. Part 3 - Twin Delayed DDPG Implementation/7. Implementation - Step 6.mp4 111.3 MB
3. Part 3 - Twin Delayed DDPG Implementation/20. Implementation - Step 19.mp4 103.5 MB
7. Annex 3 - Deep Q-Learning/5. Action Selection Policies.mp4 95.8 MB
3. Part 3 - Twin Delayed DDPG Implementation/9. Implementation - Step 8.mp4 88.0 MB
2. Part 2 - Twin Delayed DDPG Theory/1. Introduction and Initialization.mp4 86.7 MB
1. Part 1 - Fundamentals/2. Q-Learning.mp4 85.4 MB
6. Annex 2 - Q-Learning/10. Q-Learning Visualization.mp4 84.8 MB
3. Part 3 - Twin Delayed DDPG Implementation/18. Implementation - Step 17.mp4 82.9 MB
3. Part 3 - Twin Delayed DDPG Implementation/17. Implementation - Step 16.mp4 81.9 MB
3. Part 3 - Twin Delayed DDPG Implementation/2. Implementation - Step 1.mp4 79.9 MB
5. Annex 1 - Artificial Neural Networks/5. How do Neural Networks Learn.mp4 70.1 MB
3. Part 3 - Twin Delayed DDPG Implementation/21. Implementation - Step 20.mp4 69.9 MB
6. Annex 2 - Q-Learning/3. The Bellman Equation.mp4 68.7 MB
6. Annex 2 - Q-Learning/5. Markov Decision Process.mp4 68.4 MB
5. Annex 1 - Artificial Neural Networks/2. The Neuron.mp4 66.9 MB
3. Part 3 - Twin Delayed DDPG Implementation/12. Implementation - Step 11.mp4 66.2 MB
6. Annex 2 - Q-Learning/7. Living Penalty.mp4 65.8 MB
1. Part 1 - Fundamentals/4. Policy Gradient.mp4 62.9 MB
7. Annex 3 - Deep Q-Learning/4. Experience Replay.mp4 62.1 MB
3. Part 3 - Twin Delayed DDPG Implementation/6. Implementation - Step 5.mp4 58.2 MB
7. Annex 3 - Deep Q-Learning/2. Deep Q-Learning Intuition - Step 1.mp4 55.9 MB
3. Part 3 - Twin Delayed DDPG Implementation/15. Implementation - Step 14.mp4 53.7 MB
5. Annex 1 - Artificial Neural Networks/4. How do Neural Networks Work.mp4 52.7 MB
6. Annex 2 - Q-Learning/9. Temporal Difference.mp4 51.9 MB
3. Part 3 - Twin Delayed DDPG Implementation/14. Implementation - Step 13.mp4 49.5 MB
6. Annex 2 - Q-Learning/8. Q-Learning Intuition.mp4 42.0 MB
5. Annex 1 - Artificial Neural Networks/6. Gradient Descent.mp4 40.5 MB
6. Annex 2 - Q-Learning/6. Policy vs Plan.mp4 38.3 MB
5. Annex 1 - Artificial Neural Networks/7. Stochastic Gradient Descent.mp4 36.7 MB
1. Part 1 - Fundamentals/3. Deep Q-Learning.mp4 36.4 MB
6. Annex 2 - Q-Learning/2. What is Reinforcement Learning.mp4 35.5 MB
3. Part 3 - Twin Delayed DDPG Implementation/13. Implementation - Step 12.mp4 35.2 MB
5. Annex 1 - Artificial Neural Networks/8. Backpropagation.mp4 34.3 MB
3. Part 3 - Twin Delayed DDPG Implementation/10. Implementation - Step 9.mp4 34.3 MB
1. Part 1 - Fundamentals/6. Taxonomy of AI models.mp4 30.1 MB
3. Part 3 - Twin Delayed DDPG Implementation/8. Implementation - Step 7.mp4 30.0 MB
3. Part 3 - Twin Delayed DDPG Implementation/11. Implementation - Step 10.mp4 29.4 MB
1. Part 1 - Fundamentals/5. Actor-Critic.mp4 26.2 MB
5. Annex 1 - Artificial Neural Networks/3. The Activation Function.mp4 25.6 MB
7. Annex 3 - Deep Q-Learning/3. Deep Q-Learning Intuition - Step 2.mp4 23.9 MB
2. Part 2 - Twin Delayed DDPG Theory/4. The whole training process.mp4 22.6 MB
3. Part 3 - Twin Delayed DDPG Implementation/1. Beginning.mp4 20.9 MB
6. Annex 2 - Q-Learning/4. The Plan.mp4 12.2 MB
6. Annex 2 - Q-Learning/1. Plan of Attack.mp4 10.1 MB
5. Annex 1 - Artificial Neural Networks/1. Plan of Attack.mp4 7.2 MB
7. Annex 3 - Deep Q-Learning/1. Plan of Attack.mp4 5.2 MB
6. Annex 2 - Q-Learning/3. The Bellman Equation-en_US.srt 32.2 kB
6. Annex 2 - Q-Learning/9. Temporal Difference-en_US.srt 29.6 kB
4. The Final Demo!/1. Demo - Training-en_US.srt 28.5 kB
6. Annex 2 - Q-Learning/5. Markov Decision Process-en_US.srt 27.9 kB
2. Part 2 - Twin Delayed DDPG Theory/2. The Q-Learning part-en_US.srt 27.3 kB
5. Annex 1 - Artificial Neural Networks/2. The Neuron-en_US.srt 26.4 kB
7. Annex 3 - Deep Q-Learning/5. Action Selection Policies-en_US.srt 25.8 kB
7. Annex 3 - Deep Q-Learning/4. Experience Replay-en_US.srt 24.9 kB
1. Part 1 - Fundamentals/1. Welcome-en_US.srt 24.0 kB
7. Annex 3 - Deep Q-Learning/2. Deep Q-Learning Intuition - Step 1-en_US.srt 23.1 kB
6. Annex 2 - Q-Learning/8. Q-Learning Intuition-en_US.srt 23.0 kB
6. Annex 2 - Q-Learning/6. Policy vs Plan-en_US.srt 23.0 kB
6. Annex 2 - Q-Learning/10. Q-Learning Visualization-en_US.srt 21.7 kB
3. Part 3 - Twin Delayed DDPG Implementation/2. Implementation - Step 1-en_US.srt 21.1 kB
3. Part 3 - Twin Delayed DDPG Implementation/19. Implementation - Step 18-en_US.srt 20.9 kB
2. Part 2 - Twin Delayed DDPG Theory/1. Introduction and Initialization-en_US.srt 20.6 kB
5. Annex 1 - Artificial Neural Networks/4. How do Neural Networks Work-en_US.srt 20.5 kB
3. Part 3 - Twin Delayed DDPG Implementation/3. Implementation - Step 2-en_US.srt 20.4 kB
3. Part 3 - Twin Delayed DDPG Implementation/16. Implementation - Step 15-en_US.srt 19.8 kB
5. Annex 1 - Artificial Neural Networks/5. How do Neural Networks Learn-en_US.srt 19.6 kB
2. Part 2 - Twin Delayed DDPG Theory/3. The Policy Learning part-en_US.srt 19.3 kB
3. Part 3 - Twin Delayed DDPG Implementation/5. Implementation - Step 4-en_US.srt 19.1 kB
6. Annex 2 - Q-Learning/2. What is Reinforcement Learning-en_US.srt 19.0 kB
3. Part 3 - Twin Delayed DDPG Implementation/4. Implementation - Step 3-en_US.srt 17.9 kB
3. Part 3 - Twin Delayed DDPG Implementation/20. Implementation - Step 19-en_US.srt 17.2 kB
1. Part 1 - Fundamentals/2. Q-Learning-en_US.srt 15.8 kB
4. The Final Demo!/2. Demo - Inference-en_US.srt 15.7 kB
3. Part 3 - Twin Delayed DDPG Implementation/6. Implementation - Step 5-en_US.srt 15.3 kB
5. Annex 1 - Artificial Neural Networks/6. Gradient Descent-en_US.srt 14.6 kB
6. Annex 2 - Q-Learning/7. Living Penalty-en_US.srt 14.6 kB
3. Part 3 - Twin Delayed DDPG Implementation/7. Implementation - Step 6-en_US.srt 14.1 kB
3. Part 3 - Twin Delayed DDPG Implementation/17. Implementation - Step 16-en_US.srt 12.8 kB
5. Annex 1 - Artificial Neural Networks/7. Stochastic Gradient Descent-en_US.srt 12.8 kB
5. Annex 1 - Artificial Neural Networks/3. The Activation Function-en_US.srt 12.5 kB
1. Part 1 - Fundamentals/6. Taxonomy of AI models-en_US.srt 10.8 kB
3. Part 3 - Twin Delayed DDPG Implementation/12. Implementation - Step 11-en_US.srt 10.5 kB
3. Part 3 - Twin Delayed DDPG Implementation/9. Implementation - Step 8-en_US.srt 10.3 kB
7. Annex 3 - Deep Q-Learning/3. Deep Q-Learning Intuition - Step 2-en_US.srt 10.2 kB
3. Part 3 - Twin Delayed DDPG Implementation/15. Implementation - Step 14-en_US.srt 10.0 kB
1. Part 1 - Fundamentals/3. Deep Q-Learning-en_US.srt 9.7 kB
1. Part 1 - Fundamentals/4. Policy Gradient-en_US.srt 9.2 kB
3. Part 3 - Twin Delayed DDPG Implementation/1. Beginning-en_US.srt 8.4 kB
3. Part 3 - Twin Delayed DDPG Implementation/18. Implementation - Step 17-en_US.srt 8.2 kB
3. Part 3 - Twin Delayed DDPG Implementation/14. Implementation - Step 13-en_US.srt 8.1 kB
3. Part 3 - Twin Delayed DDPG Implementation/21. Implementation - Step 20-en_US.srt 8.1 kB
5. Annex 1 - Artificial Neural Networks/8. Backpropagation-en_US.srt 7.2 kB
3. Part 3 - Twin Delayed DDPG Implementation/8. Implementation - Step 7-en_US.srt 6.5 kB
3. Part 3 - Twin Delayed DDPG Implementation/13. Implementation - Step 12-en_US.srt 6.0 kB
6. Annex 2 - Q-Learning/1. Plan of Attack-en_US.srt 5.8 kB
1. Part 1 - Fundamentals/5. Actor-Critic-en_US.srt 5.7 kB
3. Part 3 - Twin Delayed DDPG Implementation/11. Implementation - Step 10-en_US.srt 5.6 kB
3. Part 3 - Twin Delayed DDPG Implementation/10. Implementation - Step 9-en_US.srt 5.3 kB
2. Part 2 - Twin Delayed DDPG Theory/4. The whole training process-en_US.srt 5.1 kB
5. Annex 1 - Artificial Neural Networks/1. Plan of Attack-en_US.srt 4.0 kB
6. Annex 2 - Q-Learning/4. The Plan-en_US.srt 3.8 kB
7. Annex 3 - Deep Q-Learning/1. Plan of Attack-en_US.srt 3.6 kB
1. Part 1 - Fundamentals/BONUS 5 Advantages of DRL.html 1.6 kB
1. Part 1 - Fundamentals/BONUS Learning Path.html 1.4 kB
8. Bonus Lectures/YOUR SPECIAL BONUS.html 1.2 kB
1. Part 1 - Fundamentals/BONUS RL Algorithms Map.html 1.1 kB
1. Part 1 - Fundamentals/Some resources before we start.html 1.1 kB
3. Part 3 - Twin Delayed DDPG Implementation/The whole code folder of the course with all the implementations.html 759 Bytes
1. Part 1 - Fundamentals/Get the materials.html 319 Bytes
0. Websites you may like/[Tutorialsplanet.NET].url 128 Bytes
1. Part 1 - Fundamentals/[Tutorialsplanet.NET].url 128 Bytes
4. The Final Demo!/[Tutorialsplanet.NET].url 128 Bytes
8. Bonus Lectures/[Tutorialsplanet.NET].url 128 Bytes
[Tutorialsplanet.NET].url 128 Bytes

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