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Presentation: Reinforcement Learning: Not Just for Robots and Games

Track: Deep Learning in Practice

Location: Cyril Magnin II

Duration: 11:40am - 12:20pm

Day of week: Tuesday

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Abstract

Reinforcement Learning (RL) and Deep Reinforcement Learning (DRL) has gained huge interests in recent years, as its application in solving very complicated strategy and decision-making problems, including DeepMind's AlphaGo, OpenAI Five, as well as autonomous driving and robotics. Though the technique itself is very powerful and promising, its applications outside of video games, robotics, and simulations are rare. As an "unusual" use case, Jibin will present one of his projects at eBay where the team used RL to improve crawling of targeted web pages. In this talk, we will start from the basics of RL, then to why and how to use it to power the web crawling. This talk is actually "casting a brick to attract jade", hoping to attract more ideas and applications of Reinforcement Learning from more fields.

Speaker: Jibin Liu

Software Engineer ex-eBay now @Amazon

Jibin is a former Software Engineer at eBay, where he was working on using Reinforcement Learning to improve the efficiency of web crawling. Prior to eBay, he worked at Esri, a pioneer in the geospatial information system, mapping, and spatial data analytics technology. Before that, he was an Environmental Consultant at AKRF, Inc. in NYC.
 
Transitioning from Environmental Engineering to Machine Learning, Jibin is passionate about applying Machine Learning and Deep Learning on automation, within both the digital and physical worlds. He will join Amazon in April 2019.

Find Jibin Liu at

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