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.

Bibliographic Details
Main Author: Hege, Phillip Gabriel
Other Authors: Tomaso Poggio.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2018
Subjects:
Online Access:http://hdl.handle.net/1721.1/113148
_version_ 1811071145890283520
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