Exploring deictic representations in reinforcement learning
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2014
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Online Access: | http://hdl.handle.net/1721.1/87337 |
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author | Finney, Sarah, 1974- |
author2 | Leslie P. Kaelbling. |
author_facet | Leslie P. Kaelbling. Finney, Sarah, 1974- |
author_sort | Finney, Sarah, 1974- |
collection | MIT |
description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. |
first_indexed | 2024-09-23T13:49:31Z |
format | Thesis |
id | mit-1721.1/87337 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T13:49:31Z |
publishDate | 2014 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/873372019-04-12T16:03:22Z Exploring deictic representations in reinforcement learning Finney, Sarah, 1974- Leslie P. Kaelbling. 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 (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. Includes bibliographical references (p. 54-55). by Sarah Finney. S.M. 2014-05-23T19:20:26Z 2014-05-23T19:20:26Z 2003 2003 Thesis http://hdl.handle.net/1721.1/87337 52561830 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 55 p. application/pdf Massachusetts Institute of Technology |
spellingShingle | Electrical Engineering and Computer Science. Finney, Sarah, 1974- Exploring deictic representations in reinforcement learning |
title | Exploring deictic representations in reinforcement learning |
title_full | Exploring deictic representations in reinforcement learning |
title_fullStr | Exploring deictic representations in reinforcement learning |
title_full_unstemmed | Exploring deictic representations in reinforcement learning |
title_short | Exploring deictic representations in reinforcement learning |
title_sort | exploring deictic representations in reinforcement learning |
topic | Electrical Engineering and Computer Science. |
url | http://hdl.handle.net/1721.1/87337 |
work_keys_str_mv | AT finneysarah1974 exploringdeicticrepresentationsinreinforcementlearning |