[最近更新] Practical Reinforcement Learning – Agents and ...

cegsddds548 · 发布于 2018-02-23 18:27 · 112 次阅读
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Practical Reinforcement Learning - Agents and Environments
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 17M | 370 MB
Genre: eLearning | Language: English
Reinforcement Learning (RL) has become one of the hottest research areas in ML and AI, and is expected to have widespread usage in diverse areas such as neuroscience, psychology, and more.
You can make an intelligent agent in a few steps: have it semi-randomly explore different choices of movement to actions given different conditions and states, then keep track of the reward or penalty associated with each choice for a given state or action.
In this course, you’ll learn how to code the core algorithms in RL and get to know the algorithms in both R and Python. This video course will help you hit the ground running, with R and Python code for Value Iteration, Policy Gradients, Q-Learning, Temporal Difference Learning, the Markov Decision Process, and Bellman Equations, which provides a framework for modeling decision making where outcomes are partly random and partly under the control of a decision maker.
At the end of the video course, you’ll know the main concepts and key algorithms in RL.

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共收到 5 条回复
chpo569as · #2 · 2018-2-23 20:23:20  回复 支持 反对
顶 感谢分享 正是我需要的
cckeong · #3 · 2018-5-10 09:33:37  回复 支持 反对
东西很值得支持再支持
we811218 · #4 · 2018-5-20 13:02:19  回复 支持 反对
精品 好,很受益,非常好!
huang0577 · #5 · 2018-7-15 11:56:45  回复 支持 反对
好东西  先收藏了 感谢楼主
acm193210 · #6 · 2018-7-28 13:21:45  回复 支持 反对
顶 感谢分享 正是我需要的
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