种子简介

种子名称： [FreeTutorials.Us] deep-reinforcement-learning-in-python
文件类型： 视频
文件数目： 47个文件
文件大小： 522.27 MB
收录时间： 2019-9-13 20:05
已经下载： 3次
资源热度： 87
最近下载： 2024-11-10 00:31

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:c1ea135bf22f4855c775197c004213d91473e7cb&dn=[FreeTutorials.Us] deep-reinforcement-learning-in-python 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

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

01 Introduction and Logistics/001 Introduction and Outline.mp415.83MB

01 Introduction and Logistics/002 Where to get the Code.mp45.19MB

01 Introduction and Logistics/003 How to Succeed in this Course.mp414.37MB

02 Background Review/004 Review Intro.mp44.19MB

02 Background Review/005 Review of Markov Decision Processes.mp412.25MB

02 Background Review/006 Review of Dynamic Programming.mp46.51MB

02 Background Review/007 Review of Monte Carlo Methods.mp46.18MB

02 Background Review/008 Review of Temporal Difference Learning.mp47.15MB

02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp43.67MB

02 Background Review/010 Review of Deep Learning.mp411.04MB

03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp48.67MB

03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp410.29MB

03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp44.54MB

03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp46.02MB

03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp414.7MB

03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp416.51MB

03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp413.75MB

03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp43.05MB

03 OpenAI Gym and Basic Reinforcement Learning Techniques/019 RBF Networks with CartPole Code.mp48.91MB

03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp45.83MB

03 OpenAI Gym and Basic Reinforcement Learning Techniques/021 Tensorflow Warmup.mp45.06MB

03 OpenAI Gym and Basic Reinforcement Learning Techniques/022 Plugging in a Neural Network.mp45.91MB

03 OpenAI Gym and Basic Reinforcement Learning Techniques/023 OpenAI Gym Section Summary.mp45.31MB

04 TD Lambda/024 N-Step Methods.mp45.02MB

04 TD Lambda/025 N-Step in Code.mp49.47MB

04 TD Lambda/026 TD Lambda.mp411.77MB

04 TD Lambda/027 TD Lambda in Code.mp47.62MB

04 TD Lambda/028 TD Lambda Summary.mp43.64MB

05 Policy Gradients/029 Policy Gradient Methods.mp417.94MB

05 Policy Gradients/030 Policy Gradient in TensorFlow for CartPole.mp417.97MB

05 Policy Gradients/031 Policy Gradient in Theano for CartPole.mp413.44MB

05 Policy Gradients/032 Continuous Action Spaces.mp46.58MB

05 Policy Gradients/033 Mountain Car Continuous Specifics.mp46.5MB

05 Policy Gradients/034 Mountain Car Continuous Theano.mp419.06MB

05 Policy Gradients/035 Mountain Car Continuous Tensorflow.mp420.09MB

06 Deep Q-Learning/036 Deep Q-Learning Intro.mp45.9MB

06 Deep Q-Learning/037 Deep Q-Learning Techniques.mp414.44MB

06 Deep Q-Learning/038 Deep Q-Learning in Tensorflow for CartPole.mp414.98MB

06 Deep Q-Learning/039 Deep Q-Learning in Theano for CartPole.mp413.76MB

06 Deep Q-Learning/040 Additional Implementation Details for Atari.mp48.51MB

06 Deep Q-Learning/041 Deep Q-Learning in Tensorflow for Breakout.mp415.76MB

06 Deep Q-Learning/042 Deep Q-Learning in Theano for Breakout.mp420.03MB

06 Deep Q-Learning/043 Partially Observable MDPs.mp47.6MB

07 Appendix/044 Environment Setup.mp443.92MB

07 Appendix/045 How to Code by Yourself part 1.mp424.53MB

07 Appendix/046 How to Code by Yourself part 2.mp414.8MB

07 Appendix/047 Where to get Udemy coupons and FREE deep learning material.mp44.02MB