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本文主要是对各种资料的摘录和重整理,部分地方加入了一些自己的理解。

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Apollo 的 Planning 模块以 Routing 模块产生一条当前位置到终点的理想路径作为输入,结合当前场景下的路况信息(信号灯、短期内障碍物的运动轨迹等),生成短期内的一条驾驶路径。

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A Note from Yoshua Bengio’s Talk.

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一份关于如何在强化学习基础上引入监督学习以及其方法在 NLP 和 Robotics 上如何应用的详细介绍

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关于强化学习的基本概念、方法和公式的一个粗略总结,内容基于 CS188x 和 Udacity MLND 两个课程。

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“微信公开课”盗号?—— 每个人都该懂的域名知识

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Recent & Upcoming Talks

End-to-end Deep Models for Self-driving Car
Nov 26, 2017 7:00 PM
卷积神经网络:从相遇相知到相爱
Nov 10, 2017 7:00 PM
如何实现无人驾驶
Oct 20, 2017 7:00 PM
Deep Reinforcement Learning
Aug 28, 2017 12:00 AM
Intro to Reinforcement Learning
Aug 23, 2017 12:00 AM

Projects

An Quadrotor Safety Monitorting System

Implemented and optimized a anomaly detection algorithm called Isolation Forest, which can receive temporal information and feed back the abnormal degree.

Predicting Rossmann Store Sales

This is a Kaggle project that should predict 6 weeks of daily sales for 1,115 stores.

A Digit Recognition Program

Train a DNN model that can decode sequences of digits from natural images by using the SVHN dataset.

Train a Smartcab How to Drive

Use reinforcement learning to aid a self-driving agent effectively reaching its destinations in the allotted time.

Creating Customer Segments

Use unsupervised learning techniques to see if any similarities exist between customers, and how to best segment customers into distinct categories.

Finding Donors for CharityML

The goal of this project is determine an algorithm that will provide the highest donation yield while also reducing the total number of letters being sent.

Predicting Boston Housing Prices

This is a optimal model based on a statistical analysis that can estimate the best selling price for client’s home.

Meet Up Event Planner

A web app for creating events.

Skills

Language

Python
C & C++
Typescript
HTML/CSS3

Libraries & Software

Mac OS
GNU/Linux
Git
Emacs
PyTorch
Keras
NumPy
scikit-learn