[FreeTutorials.Us] deep-reinforcement-learning-in-python

1. 07 Appendix/044 Environment Setup.mp443.92 MB
2. 07 Appendix/045 How to Code by Yourself part 1.mp424.53 MB
3. 05 Policy Gradients/035 Mountain Car Continuous Tensorflow.mp420.09 MB
4. 06 Deep Q-Learning/042 Deep Q-Learning in Theano for Breakout.mp420.03 MB
5. 05 Policy Gradients/034 Mountain Car Continuous Theano.mp419.06 MB
6. 05 Policy Gradients/030 Policy Gradient in TensorFlow for CartPole.mp417.97 MB
7. 05 Policy Gradients/029 Policy Gradient Methods.mp417.94 MB
8. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp416.51 MB
9. 01 Introduction and Logistics/001 Introduction and Outline.mp415.83 MB
10. 06 Deep Q-Learning/041 Deep Q-Learning in Tensorflow for Breakout.mp415.76 MB
11. 06 Deep Q-Learning/038 Deep Q-Learning in Tensorflow for CartPole.mp414.98 MB
12. 07 Appendix/046 How to Code by Yourself part 2.mp414.8 MB
13. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp414.7 MB
14. 06 Deep Q-Learning/037 Deep Q-Learning Techniques.mp414.44 MB
15. 01 Introduction and Logistics/003 How to Succeed in this Course.mp414.37 MB
16. 06 Deep Q-Learning/039 Deep Q-Learning in Theano for CartPole.mp413.76 MB
17. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp413.75 MB
18. 05 Policy Gradients/031 Policy Gradient in Theano for CartPole.mp413.44 MB
19. 02 Background Review/005 Review of Markov Decision Processes.mp412.25 MB
20. 04 TD Lambda/026 TD Lambda.mp411.77 MB
21. 02 Background Review/010 Review of Deep Learning.mp411.04 MB
22. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp410.29 MB
23. 04 TD Lambda/025 N-Step in Code.mp49.47 MB
24. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/019 RBF Networks with CartPole Code.mp48.91 MB
25. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp48.67 MB
26. 06 Deep Q-Learning/040 Additional Implementation Details for Atari.mp48.51 MB
27. 04 TD Lambda/027 TD Lambda in Code.mp47.62 MB
28. 06 Deep Q-Learning/043 Partially Observable MDPs.mp47.6 MB
29. 02 Background Review/008 Review of Temporal Difference Learning.mp47.15 MB
30. 05 Policy Gradients/032 Continuous Action Spaces.mp46.58 MB
31. 02 Background Review/006 Review of Dynamic Programming.mp46.51 MB
32. 05 Policy Gradients/033 Mountain Car Continuous Specifics.mp46.5 MB
33. 02 Background Review/007 Review of Monte Carlo Methods.mp46.18 MB
34. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp46.02 MB
35. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/022 Plugging in a Neural Network.mp45.91 MB
36. 06 Deep Q-Learning/036 Deep Q-Learning Intro.mp45.9 MB
37. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp45.83 MB
38. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/023 OpenAI Gym Section Summary.mp45.31 MB
39. 01 Introduction and Logistics/002 Where to get the Code.mp45.19 MB
40. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/021 Tensorflow Warmup.mp45.06 MB
41. 04 TD Lambda/024 N-Step Methods.mp45.02 MB
42. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp44.54 MB
43. 02 Background Review/004 Review Intro.mp44.19 MB
44. 07 Appendix/047 Where to get Udemy coupons and FREE deep learning material.mp44.02 MB
45. 02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp43.67 MB
46. 04 TD Lambda/028 TD Lambda Summary.mp43.64 MB
47. 03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp43.05 MB
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49. [FreeTutorials.Us].txt75 Bytes