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

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文档列表

07 Appendix/044 Environment Setup.mp4 46.0 MB
07 Appendix/045 How to Code by Yourself part 1.mp4 25.7 MB
05 Policy Gradients/035 Mountain Car Continuous Tensorflow.mp4 21.1 MB
06 Deep Q-Learning/042 Deep Q-Learning in Theano for Breakout.mp4 21.0 MB
05 Policy Gradients/034 Mountain Car Continuous Theano.mp4 20.0 MB
05 Policy Gradients/030 Policy Gradient in TensorFlow for CartPole.mp4 18.8 MB
05 Policy Gradients/029 Policy Gradient Methods.mp4 18.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
06 Deep Q-Learning/041 Deep Q-Learning in Tensorflow for Breakout.mp4 16.5 MB
06 Deep Q-Learning/038 Deep Q-Learning in Tensorflow for CartPole.mp4 15.7 MB
07 Appendix/046 How to Code by Yourself part 2.mp4 15.5 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
06 Deep Q-Learning/037 Deep Q-Learning Techniques.mp4 15.1 MB
01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
06 Deep Q-Learning/039 Deep Q-Learning in Theano for CartPole.mp4 14.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
05 Policy Gradients/031 Policy Gradient in Theano for CartPole.mp4 14.1 MB
02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
04 TD Lambda/026 TD Lambda.mp4 12.3 MB
02 Background Review/010 Review of Deep Learning.mp4 11.6 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4 10.8 MB
04 TD Lambda/025 N-Step in Code.mp4 9.9 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/019 RBF Networks with CartPole Code.mp4 9.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4 9.1 MB
06 Deep Q-Learning/040 Additional Implementation Details for Atari.mp4 8.9 MB
04 TD Lambda/027 TD Lambda in Code.mp4 8.0 MB
06 Deep Q-Learning/043 Partially Observable MDPs.mp4 8.0 MB
02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
05 Policy Gradients/032 Continuous Action Spaces.mp4 6.9 MB
02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
05 Policy Gradients/033 Mountain Car Continuous Specifics.mp4 6.8 MB
02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/022 Plugging in a Neural Network.mp4 6.2 MB
06 Deep Q-Learning/036 Deep Q-Learning Intro.mp4 6.2 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp4 6.1 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/023 OpenAI Gym Section Summary.mp4 5.6 MB
01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/021 Tensorflow Warmup.mp4 5.3 MB
04 TD Lambda/024 N-Step Methods.mp4 5.3 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
02 Background Review/004 Review Intro.mp4 4.4 MB
07 Appendix/047 Where to get Udemy coupons and FREE deep learning material.mp4 4.2 MB
02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
04 TD Lambda/028 TD Lambda Summary.mp4 3.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB
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