| dc.contributor.advisor | Armando Solar-Lezama. | en_US |
| dc.contributor.author | Miranda, Zachery A | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2018-12-18T19:47:40Z | |
| dc.date.available | 2018-12-18T19:47:40Z | |
| dc.date.copyright | 2018 | en_US |
| dc.date.issued | 2018 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/119732 | |
| dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. | en_US |
| dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
| dc.description | Cataloged from student-submitted PDF version of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 31-32). | en_US |
| dc.description.abstract | In this thesis, I approached deep reinforcement learning agents with the novel idea of augmenting the agent with another neural network called an "Oracle" to gain more insights about the game environment. The Oracle is trained through supervised learning and can be used in various ways with the agent such as a reward shaper or in a pipeline with the agent through which it can transform the original input state into a more enhanced input state with more information. Overall results were not positive as creating a good Oracle can be hard. Creating a better Oracle could possibly display promising results. | en_US |
| dc.description.statementofresponsibility | by Zachery A. Miranda. | en_US |
| dc.format.extent | 32 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | 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. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Augmenting a neural agent with an Oracle | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M. Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 1078688378 | en_US |
