Developing a generalized intelligent agent by processing information on webpages
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2018
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Online Access: | http://hdl.handle.net/1721.1/113148 |
_version_ | 1811071145890283520 |
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author | Hege, Phillip Gabriel |
author2 | Tomaso Poggio. |
author_facet | Tomaso Poggio. Hege, Phillip Gabriel |
author_sort | Hege, Phillip Gabriel |
collection | MIT |
description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017. |
first_indexed | 2024-09-23T08:46:44Z |
format | Thesis |
id | mit-1721.1/113148 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T08:46:44Z |
publishDate | 2018 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/1131482019-04-10T07:30:49Z Developing a generalized intelligent agent by processing information on webpages Hege, Phillip Gabriel Tomaso Poggio. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. 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). 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.. by Phillip Gabriel Hege. M. Eng. 2018-01-12T20:59:48Z 2018-01-12T20:59:48Z 2017 2017 Thesis http://hdl.handle.net/1721.1/113148 1018306715 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 41 pages application/pdf Massachusetts Institute of Technology |
spellingShingle | Electrical Engineering and Computer Science. Hege, Phillip Gabriel Developing a generalized intelligent agent by processing information on webpages |
title | Developing a generalized intelligent agent by processing information on webpages |
title_full | Developing a generalized intelligent agent by processing information on webpages |
title_fullStr | Developing a generalized intelligent agent by processing information on webpages |
title_full_unstemmed | Developing a generalized intelligent agent by processing information on webpages |
title_short | Developing a generalized intelligent agent by processing information on webpages |
title_sort | developing a generalized intelligent agent by processing information on webpages |
topic | Electrical Engineering and Computer Science. |
url | http://hdl.handle.net/1721.1/113148 |
work_keys_str_mv | AT hegephillipgabriel developingageneralizedintelligentagentbyprocessinginformationonwebpages |