首页 磁力链接怎么用

[ FreeCourseWeb.com ] Udemy - Curiosity Driven Deep Reinforcement Learning

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2022-12-31 17:27 2024-12-8 16:23 218 1.89 GB 25
二维码链接
[ FreeCourseWeb.com ] Udemy - Curiosity Driven Deep Reinforcement Learning的二维码
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接,内容跟本站无关!
文件列表
  1. ~Get Your Files Here !/1. Introduction/1. What You Will Learn in this Course.mp451.62MB
  2. ~Get Your Files Here !/1. Introduction/2. How to Succeed in this Course.mp433.46MB
  3. ~Get Your Files Here !/1. Introduction/3. Required Background, Software, and Hardware.mp426.25MB
  4. ~Get Your Files Here !/2. Fundamental Concepts/1. A Brief Review of Deep Reinforcement Learning and Actor Critic Methods.mp486.27MB
  5. ~Get Your Files Here !/2. Fundamental Concepts/2. Code Review of Basic Actor Critic Agent.mp471.74MB
  6. ~Get Your Files Here !/2. Fundamental Concepts/3. A Crash Course in Asynchronous Advantage Actor Critic Methods.mp446.76MB
  7. ~Get Your Files Here !/2. Fundamental Concepts/4. Our Code Structure.mp44.67MB
  8. ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/1. How to Read and Implement Research Papers.mp461.28MB
  9. ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/10. A3C Paper Experiments and Discussion.mp4101.34MB
  10. ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/11. How to Modify the Open AI Gym Atari Environments.mp4163.33MB
  11. ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/12. Coding Our Main Loop and Evaluating Our Agent.mp4228.36MB
  12. ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/2. A3C Paper Abstract and Introduction.mp439.45MB
  13. ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/3. Crash Course in Parallel Processing in Python.mp484.35MB
  14. ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/4. A3C Paper Related Work, Reinforcement Learning Background.mp419.34MB
  15. ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/5. A3C Paper The Asynchronous Reinforcement Learning Framework.mp486.08MB
  16. ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/6. Coding our Actor Critic Network.mp496.69MB
  17. ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/7. Learning with Generalized Advantage Estimation.mp4114.85MB
  18. ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/8. Coding a Minimalist Replay Memory.mp419.4MB
  19. ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/9. Coding the Shared Adam Optimizer.mp413.82MB
  20. ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/1. Paper Overview.mp49.52MB
  21. ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/2. ICM Paper Abstract and Introduction.mp474.69MB
  22. ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/3. ICM Paper Curiosity Driven Exploration.mp479.14MB
  23. ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/4. Experimental Setup and Coding Our ICM Module.mp4232.73MB
  24. ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/5. ICM Paper Experiments, Related Work, and Discussion.mp4110.99MB
  25. ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/6. Setting Up the Mini World and Training Our ICM Agent.mp482.07MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载,或者bt下载软件里即可下载文件,或者直接复制迅雷链接到迅雷里下载! 亲,你造吗?将网页分享给您的基友,下载的人越多速度越快哦!

违规内容投诉邮箱:[email protected]

概述 838888磁力搜索是一个磁力链接搜索引擎,是学术研究的副产品,用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络,实时的自动采集数据,仅存储文件的标题、大小、文件列表、文件标识符(磁力链接)等基础信息 838888磁力搜索不下载任何真实资源,无法判断资源的合法性及真实性,使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源,不提供Tracker服务,不提供种子文件的下载,这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统