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[DesireCourse.Net] Udemy - Cutting-Edge AI Deep Reinforcement Learning in Python
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[DesireCourse.Net] Udemy - Cutting-Edge AI Deep Reinforcement Learning in Python
磁力链接/BT种子简介
种子哈希:
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收录时间:
2021-03-08
最近下载:
2025-07-22
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文件列表
6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4
203.8 MB
4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4
203.0 MB
3. A2C (Advantage Actor-Critic)/10. A2C.mp4
201.6 MB
6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
175.1 MB
5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4
149.1 MB
3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4
134.8 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4
129.0 MB
6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
123.2 MB
4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4
115.8 MB
2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4
113.9 MB
5. ES (Evolution Strategies)/2. ES Theory.mp4
113.5 MB
3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4
100.9 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4
92.7 MB
6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4
86.6 MB
4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4
84.6 MB
2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4
82.4 MB
6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4
82.1 MB
2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4
75.1 MB
3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4
73.5 MB
5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4
72.0 MB
4. DDPG (Deep Deterministic Policy Gradient)/6. DDPG Code (part 2).mp4
68.0 MB
3. A2C (Advantage Actor-Critic)/1. A2C Section Introduction.mp4
64.3 MB
5. ES (Evolution Strategies)/6. Flappy Bird.mp4
63.9 MB
6. Appendix FAQ/7. How to Code by Yourself (part 2).mp4
59.5 MB
5. ES (Evolution Strategies)/5. ES for Supervised Learning.mp4
57.8 MB
5. ES (Evolution Strategies)/3. Notes on Evolution Strategies.mp4
55.7 MB
1. Welcome/2. Outline.mp4
53.7 MB
2. Review of Fundamental Reinforcement Learning Concepts/6. OpenAI Gym Warmup.mp4
52.1 MB
5. ES (Evolution Strategies)/4. ES for Optimizing a Function.mp4
48.8 MB
3. A2C (Advantage Actor-Critic)/9. Convolutional Neural Network.mp4
47.9 MB
4. DDPG (Deep Deterministic Policy Gradient)/2. Deep Q-Learning (DQN) Review.mp4
47.4 MB
5. ES (Evolution Strategies)/1. ES Section Introduction.mp4
47.0 MB
6. Appendix FAQ/5. How to Succeed in this Course (Long Version).mp4
41.2 MB
1. Welcome/1. Introduction.mp4
37.5 MB
3. A2C (Advantage Actor-Critic)/11. A2C Section Summary.mp4
34.3 MB
3. A2C (Advantage Actor-Critic)/3. A2C Theory (part 2).mp4
34.2 MB
2. Review of Fundamental Reinforcement Learning Concepts/4. Monte Carlo Methods.mp4
33.6 MB
2. Review of Fundamental Reinforcement Learning Concepts/7. Review Section Summary.mp4
32.7 MB
5. ES (Evolution Strategies)/9. ES Section Summary.mp4
30.0 MB
3. A2C (Advantage Actor-Critic)/6. A2C Code - Rough Sketch.mp4
29.9 MB
3. A2C (Advantage Actor-Critic)/5. A2C Demo.mp4
28.8 MB
1. Welcome/3. Where to get the code.mp4
25.6 MB
4. DDPG (Deep Deterministic Policy Gradient)/1. DDPG Section Introduction.mp4
25.1 MB
6. Appendix FAQ/9. Python 2 vs Python 3.mp4
19.9 MB
2. Review of Fundamental Reinforcement Learning Concepts/1. Review Section Introduction.mp4
19.8 MB
6. Appendix FAQ/1. What is the Appendix.mp4
18.9 MB
4. DDPG (Deep Deterministic Policy Gradient)/7. DDPG Section Summary.mp4
18.5 MB
3. A2C (Advantage Actor-Critic)/4. A2C Theory (part 3).mp4
14.9 MB
6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
28.3 kB
3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).vtt
23.3 kB
5. ES (Evolution Strategies)/2. ES Theory.vtt
22.9 kB
2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).vtt
22.8 kB
4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.vtt
21.6 kB
6. Appendix FAQ/11. What order should I take your courses in (part 2).vtt
20.7 kB
4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.vtt
20.5 kB
4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).vtt
20.5 kB
3. A2C (Advantage Actor-Critic)/10. A2C.vtt
20.2 kB
6. Appendix FAQ/6. How to Code by Yourself (part 1).vtt
19.8 kB
2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).vtt
19.0 kB
6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.vtt
17.8 kB
2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.vtt
15.9 kB
5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.vtt
15.9 kB
6. Appendix FAQ/10. What order should I take your courses in (part 1).vtt
14.5 kB
5. ES (Evolution Strategies)/6. Flappy Bird.vtt
14.1 kB
3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.vtt
13.6 kB
6. Appendix FAQ/5. How to Succeed in this Course (Long Version).vtt
13.1 kB
6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
12.9 kB
6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.vtt
12.6 kB
6. Appendix FAQ/7. How to Code by Yourself (part 2).vtt
11.7 kB
4. DDPG (Deep Deterministic Policy Gradient)/2. Deep Q-Learning (DQN) Review.vtt
10.7 kB
5. ES (Evolution Strategies)/3. Notes on Evolution Strategies.vtt
10.3 kB
3. A2C (Advantage Actor-Critic)/7. Multiple Processes.vtt
9.8 kB
1. Welcome/2. Outline.vtt
9.5 kB
3. A2C (Advantage Actor-Critic)/1. A2C Section Introduction.vtt
9.4 kB
2. Review of Fundamental Reinforcement Learning Concepts/4. Monte Carlo Methods.vtt
8.7 kB
2. Review of Fundamental Reinforcement Learning Concepts/7. Review Section Summary.vtt
8.5 kB
3. A2C (Advantage Actor-Critic)/6. A2C Code - Rough Sketch.vtt
8.3 kB
5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.vtt
8.3 kB
3. A2C (Advantage Actor-Critic)/3. A2C Theory (part 2).vtt
8.1 kB
3. A2C (Advantage Actor-Critic)/11. A2C Section Summary.vtt
8.0 kB
5. ES (Evolution Strategies)/1. ES Section Introduction.vtt
7.7 kB
2. Review of Fundamental Reinforcement Learning Concepts/6. OpenAI Gym Warmup.vtt
7.4 kB
5. ES (Evolution Strategies)/4. ES for Optimizing a Function.vtt
6.9 kB
5. ES (Evolution Strategies)/5. ES for Supervised Learning.vtt
6.8 kB
4. DDPG (Deep Deterministic Policy Gradient)/6. DDPG Code (part 2).vtt
6.3 kB
3. A2C (Advantage Actor-Critic)/9. Convolutional Neural Network.vtt
6.2 kB
5. ES (Evolution Strategies)/9. ES Section Summary.vtt
5.8 kB
1. Welcome/3. Where to get the code.vtt
5.7 kB
6. Appendix FAQ/9. Python 2 vs Python 3.vtt
5.5 kB
4. DDPG (Deep Deterministic Policy Gradient)/7. DDPG Section Summary.vtt
4.8 kB
2. Review of Fundamental Reinforcement Learning Concepts/1. Review Section Introduction.vtt
4.7 kB
1. Welcome/1. Introduction.vtt
4.5 kB
4. DDPG (Deep Deterministic Policy Gradient)/1. DDPG Section Introduction.vtt
4.0 kB
3. A2C (Advantage Actor-Critic)/4. A2C Theory (part 3).vtt
3.5 kB
6. Appendix FAQ/1. What is the Appendix.vtt
3.4 kB
3. A2C (Advantage Actor-Critic)/5. A2C Demo.vtt
2.5 kB
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