marvinzhang.com

Marvin Zhang

I'm a second-year Ph.D. student in Computer Science at the University of California, Berkeley. I work with Professor Pieter Abbeel. And Professor Sergey Levine. In the Berkeley Artificial Intelligence Research (BAIR) Lab. My research focuses on approaches to, algorithms for, and applications of learning perception and control for real-world robotic systems. My specific interests are currently centered around representation learning and model-based reinforcement learning methods.

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Marvin Zhang | marvinzhang.com Reviews

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I'm a second-year Ph.D. student in Computer Science at the University of California, Berkeley. I work with Professor Pieter Abbeel. And Professor Sergey Levine. In the Berkeley Artificial Intelligence Research (BAIR) Lab. My research focuses on approaches to, algorithms for, and applications of learning perception and control for real-world robotic systems. My specific interests are currently centered around representation learning and model-based reinforcement learning methods.

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1 marvin zhang

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3 teaching

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5 linkedin

6 github

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Marvin Zhang | marvinzhang.com Reviews

https://marvinzhang.com

I'm a second-year Ph.D. student in Computer Science at the University of California, Berkeley. I work with Professor Pieter Abbeel. And Professor Sergey Levine. In the Berkeley Artificial Intelligence Research (BAIR) Lab. My research focuses on approaches to, algorithms for, and applications of learning perception and control for real-world robotic systems. My specific interests are currently centered around representation learning and model-based reinforcement learning methods.

INTERNAL PAGES

marvinzhang.com

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Projects - Marvin Zhang

http://www.marvinzhang.com/projects

Here are some of the projects I've worked on in my free time. This is a project that I built in collaboration with my roommates, Shreyas Chand. For our CS 164. UC Berkeley UPE Website. This is the new website for the UC Berkeley Nu chapter of Upsilon Pi Epsilon. The national Computer Science honor society. As one of the former IT and web development chairs, I led a committee in designing and building the backend of this website using Django. The code for this project can be found on Github. To assign TAs...

2

Other - Marvin Zhang

http://www.marvinzhang.com/other

The best way to get in touch with me is to send me an email. At [zhangmarvin at berkeley dot edu]. Things I like talking about include, but are not limited to: Washington, D.C., area sports teams (I'm originally from Bethesda, MD), shows I have watched or am currently watching (Mad Men, Game of Thrones, and Bojack Horseman, to name a few), and John Mayer. For other ways to reach me, and also if you would like to find more professional-type information, check out my: CV.

3

Teaching - Marvin Zhang

http://www.marvinzhang.com/teaching

I am an undergraduate student instructor (UGSI, or TA) for CS 189/289A. The machine learning course at Berkeley, for the Spring 2016 semester. In the Fall 2015 semester, I was a UGSI for CS 188. The introductory artificial intelligence course. Before that, I was a UGSI for CS 61A. For resources for CS 188. Refer to the respective course websites. A hard Logic programming problem. A Linked Lists problem. A WWPD (What Would Python Display) problem. A collection of Midterm 2 problems. CS 61A Extra Lectures).

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Remix I did for Meda, out now on Neverending Records. Latest mix I did for In Haus Wax, limited free download! Check out my new EP on Urban Torque Recordings, out now! I will be playing at Die Rakete, Nuremberg - on the 3rd of November, together with Homebase I'll be at the Beatwax Floor, see you there! My last vinyl only EP on In Haus Wax, was sold out in just 3 days. You can still get a copy through discogs.com, prices around 30-40 Euro per copy. Digital release will follow soon. Matthias Vogt asked me...

marvinzhang.com

Marvin Zhang

I'm a second-year Ph.D. student in Computer Science at the University of California, Berkeley. I work with Professor Pieter Abbeel. And Professor Sergey Levine. In the Berkeley Artificial Intelligence Research (BAIR) Lab. My research focuses on approaches to, algorithms for, and applications of learning perception and control for real-world robotic systems. My specific interests are currently centered around representation learning and model-based reinforcement learning methods.

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