1. Google相关
1.1 DeepMind最新meta learning论文
Prefrontal cortex as a meta-reinforcement learning system
链接:https://deepmind.com/blog/prefrontal-cortex-meta-reinforcement-learning-system/?utm_campaign=ARCHITECHT&utm_medium=email&utm_source=ARCHITECHT_28
1.2 Google Clips相机如何抓拍精彩瞬间
Automatic Photography with Google Clips
链接:https://ai.googleblog.com/2018/05/automatic-photography-with-google-clips.html
1.3 机器学习最佳实践
Rules of Machine Learning: Best Practices for ML Engineering
链接:https://developers.google.com/machine-learning/rules-of-ml/?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=Deep%20Learning%20Weekly
2. 腾讯用RL和MCTS打王者荣耀的论文来了
Feedback-Based Tree Search for Reinforcement Learning
链接:https://arxiv.org/pdf/1805.05935.pdf
3. Auto-ML相关
3.1 auto-sklearn
链接:https://github.com/automl/auto-sklearn
3.2 TPOT
链接:https://github.com/EpistasisLab/tpot
4. tensor编译器对比
Tensor Compilers: Comparing PlaidML, Tensor Comprehensions, and TVM
链接:http://vertex.ai/blog/compiler-comparison
5. RL和进化算法混搭解决货运船搬集装箱问题
Evolutionary RL for Container Loading
链接:https://arxiv.org/abs/1805.06664
6. Airbnb用机器学习给房间图片分类
Categorizing Listing Photos at Airbnb
链接:https://medium.com/airbnb-engineering/categorizing-listing-photos-at-airbnb-f9483f3ab7e3
7. 康奈尔大学的数据科学基础(书)
链接:https://www.cs.cornell.edu/jeh/book.pdf
8. RL在知识图谱reasoning领域的应用
8.1 Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
链接:https://arxiv.org/abs/1711.05851
8.2 DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
链接:https://arxiv.org/abs/1707.06690
9. 用机器学习做adblocker
AdGraph: A Machine Learning Approach to Automatic and Effective Adblocking
链接:https://arxiv.org/pdf/1805.09155.pdf
10. 教程
10.1 Monte Carlo Tree Search教程
A Deep Dive into Monte Carlo Tree Search
链接:http://www.moderndescartes.com/essays/deep_dive_mcts/
10.2 easy-tensorflow教程
链接:https://github.com/easy-tensorflow/easy-tensorflow?utm_campaign=Data_Elixir&utm_medium=email&utm_source=Data_Elixir_183
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