Developing a generalized intelligent agent by processing information on webpages
Name
1018306715-MIT.pdf
Description
Full printable version
Size
3.66 MB
Format
Adobe PDF
Checksum (MD5)
434e076331ba54185edf834f9c36f0d8
Author(s)
Hege, Phillip Gabriel
Advisor(s)
Tomaso Poggio.
Date Issued
2017
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis, I designed and implemented a framework for reinforcement learning (RL) agents to interact with a web environment. With this framework, I introduce a new challenge for RL agents to learn human activity on the web. By defining a series of tasks such as using the web as a navigable resource to perform actions, I introduce an extension to natural language processing models. The framework provides an agent with rich features including element positioning, color, and size in order to process text represented in a 2D web space..
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (page 41).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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