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01 Introduction and Logistics/001 Introduction and Outline.mp4
15.83MB
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01 Introduction and Logistics/002 Where to get the Code.mp4
5.19MB
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01 Introduction and Logistics/003 How to Succeed in this Course.mp4
14.37MB
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02 Background Review/004 Review Intro.mp4
4.19MB
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02 Background Review/005 Review of Markov Decision Processes.mp4
12.25MB
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02 Background Review/006 Review of Dynamic Programming.mp4
6.51MB
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02 Background Review/007 Review of Monte Carlo Methods.mp4
6.18MB
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02 Background Review/008 Review of Temporal Difference Learning.mp4
7.15MB
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02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4
3.67MB
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02 Background Review/010 Review of Deep Learning.mp4
11.04MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4
8.67MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4
10.29MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4
4.54MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4
6.02MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4
14.7MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4
16.51MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4
13.75MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4
3.05MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/019 RBF Networks with CartPole Code.mp4
8.91MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp4
5.83MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/021 Tensorflow Warmup.mp4
5.06MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/022 Plugging in a Neural Network.mp4
5.91MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/023 OpenAI Gym Section Summary.mp4
5.31MB
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04 TD Lambda/024 N-Step Methods.mp4
5.02MB
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04 TD Lambda/025 N-Step in Code.mp4
9.47MB
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04 TD Lambda/026 TD Lambda.mp4
11.77MB
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04 TD Lambda/027 TD Lambda in Code.mp4
7.62MB
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04 TD Lambda/028 TD Lambda Summary.mp4
3.64MB
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05 Policy Gradients/029 Policy Gradient Methods.mp4
17.94MB
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05 Policy Gradients/030 Policy Gradient in TensorFlow for CartPole.mp4
17.97MB
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05 Policy Gradients/031 Policy Gradient in Theano for CartPole.mp4
13.44MB
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05 Policy Gradients/032 Continuous Action Spaces.mp4
6.58MB
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05 Policy Gradients/033 Mountain Car Continuous Specifics.mp4
6.5MB
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05 Policy Gradients/034 Mountain Car Continuous Theano.mp4
19.06MB
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05 Policy Gradients/035 Mountain Car Continuous Tensorflow.mp4
20.09MB
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06 Deep Q-Learning/036 Deep Q-Learning Intro.mp4
5.9MB
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06 Deep Q-Learning/037 Deep Q-Learning Techniques.mp4
14.44MB
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06 Deep Q-Learning/038 Deep Q-Learning in Tensorflow for CartPole.mp4
14.98MB
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06 Deep Q-Learning/039 Deep Q-Learning in Theano for CartPole.mp4
13.76MB
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06 Deep Q-Learning/040 Additional Implementation Details for Atari.mp4
8.51MB
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06 Deep Q-Learning/041 Deep Q-Learning in Tensorflow for Breakout.mp4
15.76MB
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06 Deep Q-Learning/042 Deep Q-Learning in Theano for Breakout.mp4
20.03MB
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06 Deep Q-Learning/043 Partially Observable MDPs.mp4
7.6MB
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07 Appendix/044 Environment Setup.mp4
43.92MB
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07 Appendix/045 How to Code by Yourself part 1.mp4
24.53MB
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07 Appendix/046 How to Code by Yourself part 2.mp4
14.8MB
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07 Appendix/047 Where to get Udemy coupons and FREE deep learning material.mp4
4.02MB
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[FreeTutorials.Us].txt
75B
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