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deep-reinforcement-learning-in-python
magnet:?xt=urn:btih:68e4d146cf878b1ba306c5d94a715e51013fd377&dn=deep-reinforcement-learning-in-python
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文件列表详情
68e4d146cf878b1ba306c5d94a715e51013fd377
infohash:
45
文件数量
482.94 MB
文件大小
2017-5-30 13:16
创建日期
2024-10-4 22:02
最后访问
相关分词
deep-reinforcement-learning-in-python
03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.05 MB
04 TD Lambda/028 TD Lambda Summary.mp4 3.64 MB
02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.67 MB
07 Appendix/045 Where to get Udemy coupons and FREE deep learning material.mp4 4.02 MB
02 Background Review/004 Review Intro.mp4 4.19 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.54 MB
04 TD Lambda/024 N-Step Methods.mp4 5.02 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/021 Tensorflow Warmup.mp4 5.06 MB
01 Introduction and Logistics/002 Where to get the Code.mp4 5.19 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/023 OpenAI Gym Section Summary.mp4 5.31 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp4 5.83 MB
06 Deep Q-Learning/036 Deep Q-Learning Intro.mp4 5.9 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/022 Plugging in a Neural Network.mp4 5.91 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.02 MB
02 Background Review/007 Review of Monte Carlo Methods.mp4 6.18 MB
05 Policy Gradients/033 Mountain Car Continuous Specifics.mp4 6.5 MB
02 Background Review/006 Review of Dynamic Programming.mp4 6.51 MB
05 Policy Gradients/032 Continuous Action Spaces.mp4 6.58 MB
02 Background Review/008 Review of Temporal Difference Learning.mp4 7.15 MB
06 Deep Q-Learning/043 Partially Observable MDPs.mp4 7.6 MB
04 TD Lambda/027 TD Lambda in Code.mp4 7.62 MB
06 Deep Q-Learning/040 Additional Implementation Details for Atari.mp4 8.51 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4 8.67 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/019 RBF Networks with CartPole Code.mp4 8.91 MB
04 TD Lambda/025 N-Step in Code.mp4 9.47 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4 10.29 MB
02 Background Review/010 Review of Deep Learning.mp4 11.04 MB
04 TD Lambda/026 TD Lambda.mp4 11.77 MB
02 Background Review/005 Review of Markov Decision Processes.mp4 12.25 MB
05 Policy Gradients/031 Policy Gradient in Theano for CartPole.mp4 13.44 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 13.75 MB
06 Deep Q-Learning/039 Deep Q-Learning in Theano for CartPole.mp4 13.76 MB
01 Introduction and Logistics/003 How to Succeed in this Course.mp4 14.37 MB
06 Deep Q-Learning/037 Deep Q-Learning Techniques.mp4 14.44 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 14.7 MB
06 Deep Q-Learning/038 Deep Q-Learning in Tensorflow for CartPole.mp4 14.98 MB
06 Deep Q-Learning/041 Deep Q-Learning in Tensorflow for Breakout.mp4 15.76 MB
01 Introduction and Logistics/001 Introduction and Outline.mp4 15.83 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 16.51 MB
05 Policy Gradients/029 Policy Gradient Methods.mp4 17.94 MB
05 Policy Gradients/030 Policy Gradient in TensorFlow for CartPole.mp4 17.97 MB
05 Policy Gradients/034 Mountain Car Continuous Theano.mp4 19.06 MB
06 Deep Q-Learning/042 Deep Q-Learning in Theano for Breakout.mp4 20.03 MB
05 Policy Gradients/035 Mountain Car Continuous Tensorflow.mp4 20.09 MB
07 Appendix/044 Environment Setup.mp4 43.92 MB
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