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Udemy - Cutting-Edge AI Deep Reinforcement Learning in Python (10.2022)
大小 1.97 GB
文件数 102
Info Hash: D228AB9CFB87B2E263B4DC55DA51D066B7F308A1
收录时间 2025-12-19 22:39:22
更新时间 2025-12-19 23:00:20
文件列表 (102)
01 - Welcome/001 Introduction.mp4
35.77 MB
01 - Welcome/001 Introduction.srt
5.08 KB
01 - Welcome/002 Outline.mp4
51.18 MB
01 - Welcome/002 Outline.srt
10.5 KB
01 - Welcome/003 Github-Link.url
83 B
01 - Welcome/003 Where to get the code.mp4
8.57 MB
01 - Welcome/003 Where to get the code.srt
6.34 KB
01 - Welcome/external-links.txt
80 B
02 - Review of Fundamental Reinforcement Learning Concepts/001 Review Section Introduction.mp4
6.87 MB
02 - Review of Fundamental Reinforcement Learning Concepts/001 Review Section Introduction.srt
5.12 KB
02 - Review of Fundamental Reinforcement Learning Concepts/002 The Explore-Exploit Dilemma.mp4
25.05 MB
02 - Review of Fundamental Reinforcement Learning Concepts/002 The Explore-Exploit Dilemma.srt
17.67 KB
02 - Review of Fundamental Reinforcement Learning Concepts/003 Markov Decision Processes (MDPs).mp4
36.22 MB
02 - Review of Fundamental Reinforcement Learning Concepts/003 Markov Decision Processes (MDPs).srt
25.86 KB
02 - Review of Fundamental Reinforcement Learning Concepts/004 Monte Carlo Methods.mp4
12.76 MB
02 - Review of Fundamental Reinforcement Learning Concepts/004 Monte Carlo Methods.srt
9.74 KB
02 - Review of Fundamental Reinforcement Learning Concepts/005 Temporal Difference Learning (TD).mp4
30.3 MB
02 - Review of Fundamental Reinforcement Learning Concepts/005 Temporal Difference Learning (TD).srt
21.64 KB
02 - Review of Fundamental Reinforcement Learning Concepts/006 OpenAI Gym Warmup.mp4
20.85 MB
02 - Review of Fundamental Reinforcement Learning Concepts/006 OpenAI Gym Warmup.srt
8.21 KB
02 - Review of Fundamental Reinforcement Learning Concepts/007 Review Section Summary.mp4
11.93 MB
02 - Review of Fundamental Reinforcement Learning Concepts/007 Review Section Summary.srt
9.26 KB
02 - Review of Fundamental Reinforcement Learning Concepts/008 Suggestion Box.mp4
23.25 MB
02 - Review of Fundamental Reinforcement Learning Concepts/008 Suggestion Box.srt
4.75 KB
03 - A2C (Advantage Actor-Critic)/001 A2C Section Introduction.mp4
56.81 MB
03 - A2C (Advantage Actor-Critic)/001 A2C Section Introduction.srt
10.41 KB
03 - A2C (Advantage Actor-Critic)/002 A2C Theory (part 1).mp4
49.22 MB
03 - A2C (Advantage Actor-Critic)/002 A2C Theory (part 1).srt
26.13 KB
03 - A2C (Advantage Actor-Critic)/003 A2C Theory (part 2).mp4
12.34 MB
03 - A2C (Advantage Actor-Critic)/003 A2C Theory (part 2).srt
9.01 KB
03 - A2C (Advantage Actor-Critic)/004 A2C Theory (part 3).mp4
6.25 MB
03 - A2C (Advantage Actor-Critic)/004 A2C Theory (part 3).srt
3.82 KB
03 - A2C (Advantage Actor-Critic)/005 A2C Demo.mp4
16.37 MB
03 - A2C (Advantage Actor-Critic)/005 A2C Demo.srt
2.81 KB
03 - A2C (Advantage Actor-Critic)/006 A2C Code - Rough Sketch.mp4
11.2 MB
03 - A2C (Advantage Actor-Critic)/006 A2C Code - Rough Sketch.srt
9.55 KB
03 - A2C (Advantage Actor-Critic)/007 Multiple Processes.mp4
44.67 MB
03 - A2C (Advantage Actor-Critic)/007 Multiple Processes.srt
10.62 KB
03 - A2C (Advantage Actor-Critic)/008 Environment Wrappers.mp4
80.62 MB
03 - A2C (Advantage Actor-Critic)/008 Environment Wrappers.srt
15.1 KB
03 - A2C (Advantage Actor-Critic)/009 Convolutional Neural Network.mp4
29.53 MB
03 - A2C (Advantage Actor-Critic)/009 Convolutional Neural Network.srt
6.82 KB
03 - A2C (Advantage Actor-Critic)/010 A2C.mp4
116.89 MB
03 - A2C (Advantage Actor-Critic)/010 A2C.srt
22.99 KB
03 - A2C (Advantage Actor-Critic)/011 A2C Section Summary.mp4
11.63 MB
03 - A2C (Advantage Actor-Critic)/011 A2C Section Summary.srt
8.62 KB
04 - DDPG (Deep Deterministic Policy Gradient)/001 DDPG Section Introduction.mp4
9.46 MB
04 - DDPG (Deep Deterministic Policy Gradient)/001 DDPG Section Introduction.srt
4.44 KB
04 - DDPG (Deep Deterministic Policy Gradient)/002 Deep Q-Learning (DQN) Review.mp4
22.26 MB
04 - DDPG (Deep Deterministic Policy Gradient)/002 Deep Q-Learning (DQN) Review.srt
11.88 KB
04 - DDPG (Deep Deterministic Policy Gradient)/003 DDPG Theory.mp4
31.71 MB
04 - DDPG (Deep Deterministic Policy Gradient)/003 DDPG Theory.srt
22.9 KB
04 - DDPG (Deep Deterministic Policy Gradient)/004 MuJoCo.mp4
93.48 MB
04 - DDPG (Deep Deterministic Policy Gradient)/004 MuJoCo.srt
24.14 KB
04 - DDPG (Deep Deterministic Policy Gradient)/005 DDPG Code (part 1).mp4
124.27 MB
04 - DDPG (Deep Deterministic Policy Gradient)/005 DDPG Code (part 1).srt
23.09 KB
04 - DDPG (Deep Deterministic Policy Gradient)/006 DDPG Code (part 2).mp4
38.97 MB
04 - DDPG (Deep Deterministic Policy Gradient)/006 DDPG Code (part 2).srt
6.96 KB
04 - DDPG (Deep Deterministic Policy Gradient)/007 DDPG Section Summary.mp4
6.83 MB
04 - DDPG (Deep Deterministic Policy Gradient)/007 DDPG Section Summary.srt
5.14 KB
05 - ES (Evolution Strategies)/001 ES Section Introduction.mp4
14.21 MB
05 - ES (Evolution Strategies)/001 ES Section Introduction.srt
8.66 KB
05 - ES (Evolution Strategies)/002 ES Theory.mp4
43.75 MB
05 - ES (Evolution Strategies)/002 ES Theory.srt
25.62 KB
05 - ES (Evolution Strategies)/003 Notes on Evolution Strategies.mp4
24.8 MB
05 - ES (Evolution Strategies)/003 Notes on Evolution Strategies.srt
11.51 KB
05 - ES (Evolution Strategies)/004 ES for Optimizing a Function.mp4
19.23 MB
05 - ES (Evolution Strategies)/004 ES for Optimizing a Function.srt
7.5 KB
05 - ES (Evolution Strategies)/005 ES for Supervised Learning.mp4
35.81 MB
05 - ES (Evolution Strategies)/005 ES for Supervised Learning.srt
7.54 KB
05 - ES (Evolution Strategies)/006 Flappy Bird.mp4
25.28 MB
05 - ES (Evolution Strategies)/006 Flappy Bird.srt
15.43 KB
05 - ES (Evolution Strategies)/007 ES for Flappy Bird in Code.mp4
91.37 MB
05 - ES (Evolution Strategies)/007 ES for Flappy Bird in Code.srt
17.74 KB
05 - ES (Evolution Strategies)/008 ES for MuJoCo in Code.mp4
30.36 MB
05 - ES (Evolution Strategies)/008 ES for MuJoCo in Code.srt
9.09 KB
05 - ES (Evolution Strategies)/009 ES Section Summary.mp4
10.08 MB
05 - ES (Evolution Strategies)/009 ES Section Summary.srt
6.24 KB
06 - Setting Up Your Environment (FAQ by Student Request)/001 Anaconda Environment Setup.mp4
175.21 MB
06 - Setting Up Your Environment (FAQ by Student Request)/001 Anaconda Environment Setup.srt
19.75 KB
06 - Setting Up Your Environment (FAQ by Student Request)/002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
109.02 MB
06 - Setting Up Your Environment (FAQ by Student Request)/002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
14.15 KB
07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).mp4
56.12 MB
07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).srt
22.65 KB
07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 How to Code by Yourself (part 2).mp4
20.87 MB
07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 How to Code by Yourself (part 2).srt
13.18 KB
07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.mp4
64.34 MB
07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.srt
14.05 KB
07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/004 Python 2 vs Python 3.mp4
7.61 MB
07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/004 Python 2 vs Python 3.srt
6.06 KB
08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 How to Succeed in this Course (Long Version).mp4
16.81 MB
08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 How to Succeed in this Course (Long Version).srt
14.71 KB
08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
50.8 MB
08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
31.93 KB
08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
75.72 MB
08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).srt
16.77 KB
08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
81.22 MB
08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).srt
23.55 KB
09 - Appendix FAQ Finale/001 What is the Appendix.mp4
6.15 MB
09 - Appendix FAQ Finale/001 What is the Appendix.srt
3.76 KB
09 - Appendix FAQ Finale/002 BONUS Lecture.mp4
37.76 MB
09 - Appendix FAQ Finale/002 BONUS Lecture.srt
7.88 KB
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