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Title: Evolution Strategies as a Scalable Alternative to Reinforcement Learning | Keavnn'Blog

Open Graph Title: Evolution Strategies as a Scalable Alternative to Reinforcement Learning

X Title: Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Description: 这一篇论文讲了强化学习算法的替代可解方案：进化策略。主要思想是对参数空间添加噪音而不是动作空间。 不推荐这篇论文： 公式没有详细推理，非常难懂 文中进化策略其实跟强化学习并没有特别大的关系 很多关于进化策略的性质、优势非常难懂，基本上都是文字解释，没有举例 文中措辞不难，但想要理解其本质非常难

Open Graph Description: 这一篇论文讲了强化学习算法的替代可解方案：进化策略。主要思想是对参数空间添加噪音而不是动作空间。 不推荐这篇论文： 公式没有详细推理，非常难懂 文中进化策略其实跟强化学习并没有特别大的关系 很多关于进化策略的性质、优势非常难懂，基本上都是文字解释，没有举例 文中措辞不难，但想要理解其本质非常难

X Description: 这一篇论文讲了强化学习算法的替代可解方案：进化策略。主要思想是对参数空间添加噪音而不是动作空间。 不推荐这篇论文： 公式没有详细推理，非常难懂 文中进化策略其实跟强化学习并没有特别大的关系 很多关于进化策略的性质、优势非常难懂，基本上都是文字解释，没有举例 文中措辞不难，但想要理解其本质非常难

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ReinforcementLearning https://stepneverstop.github.io/categories/ReinforcementLearning/
https://stepneverstop.github.io/Evolution-Strategies-2017.html#简介
https://arxiv.org/pdf/1703.03864.pdfhttps://arxiv.org/pdf/1703.03864.pdf
直接策略搜索https://pdfs.semanticscholar.org/dd17/8d3f30d801922c98cec9c2d90db05395f244.pdf?_ga=2.257341323.183297583.1558416128-1251761365.1555224483
神经进化https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7307180&tag=1
https://stepneverstop.github.io/Evolution-Strategies-2017.html#正文精要
https://stepneverstop.github.io/Evolution-Strategies-2017.html#实验发现
Virtual Batch Normalizationhttps://arxiv.org/pdf/1606.03498.pdf
https://stepneverstop.github.io/Evolution-Strategies-2017.html#实验结果
https://stepneverstop.github.io/Evolution-Strategies-2017.html#MuJoCo
https://stepneverstop.github.io/Evolution-Strategies-2017.html#Atari
https://stepneverstop.github.io/Evolution-Strategies-2017.html#并行化-Parallelization
https://stepneverstop.github.io/Evolution-Strategies-2017.html#“跳帧”测试
Evolution Strategies as a Scalable Alternative to Reinforcement Learninghttps://stepneverstop.github.io/Evolution-Strategies-2017.html
Keavnnhttps://stepneverstop.github.io/
http://StepNeverStop.github.io/Evolution-Strategies-2017.htmlhttps://stepneverstop.github.io/Evolution-Strategies-2017.html
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1. 简介https://stepneverstop.github.io/Evolution-Strategies-2017.html#简介
2. 正文精要https://stepneverstop.github.io/Evolution-Strategies-2017.html#正文精要
3. 实验发现https://stepneverstop.github.io/Evolution-Strategies-2017.html#实验发现
4. 实验结果https://stepneverstop.github.io/Evolution-Strategies-2017.html#实验结果
4.1. MuJoCohttps://stepneverstop.github.io/Evolution-Strategies-2017.html#MuJoCo
4.2. Atarihttps://stepneverstop.github.io/Evolution-Strategies-2017.html#Atari
4.3. 并行化 Parallelizationhttps://stepneverstop.github.io/Evolution-Strategies-2017.html#并行化-Parallelization
4.4. “跳帧”测试https://stepneverstop.github.io/Evolution-Strategies-2017.html#“跳帧”测试

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