Solving Dec-MDPs with options and intention recognition
Thesis: M. Eng. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2016
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| Online Access: | http://hdl.handle.net/1721.1/106028 |
| _version_ | 1826206198580379648 |
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| author | Cruz, Gabriel, M. Eng. Massachusetts Institute of Technology |
| author2 | Tomás Lozano-Pérez and Leslie Pack Kaelbling. |
| author_facet | Tomás Lozano-Pérez and Leslie Pack Kaelbling. Cruz, Gabriel, M. Eng. Massachusetts Institute of Technology |
| author_sort | Cruz, Gabriel, M. Eng. Massachusetts Institute of Technology |
| collection | MIT |
| description | Thesis: M. Eng. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. |
| first_indexed | 2024-09-23T13:25:39Z |
| format | Thesis |
| id | mit-1721.1/106028 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T13:25:39Z |
| publishDate | 2016 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1060282019-04-10T11:19:18Z Solving Dec-MDPs with options and intention recognition Solving decentralized Markov decision processes with options and intention recognition Cruz, Gabriel, M. Eng. Massachusetts Institute of Technology Tomás Lozano-Pérez and Leslie Pack 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: M. Eng. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. 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 (pages 31-32). In this thesis, we designed and implemented an algorithm to find approximate solutions to multi-agent systems. We model the problems with a Decentralized Markov Decision Process, and we make use of options and intention recognition to solve the problem. Rather than directly solving the Dec-MDP, which is NEXP-Complete, we instead solve a set of single-agent MDPs, that we can solve in P-Complete, and combine these solutions during execution time. We tested our algorithm on several instances of the Bribed Package Retrieval Problem and we were able to handle problems as large as our MDP solver would allow, which is a big improvement over what optimal Dec-MDP solvers can handle. by Gabriel Cruz. M. Eng. in Computer Science and Engineering 2016-12-22T15:19:09Z 2016-12-22T15:19:09Z 2016 2016 Thesis http://hdl.handle.net/1721.1/106028 965830909 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 32 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Cruz, Gabriel, M. Eng. Massachusetts Institute of Technology Solving Dec-MDPs with options and intention recognition |
| title | Solving Dec-MDPs with options and intention recognition |
| title_full | Solving Dec-MDPs with options and intention recognition |
| title_fullStr | Solving Dec-MDPs with options and intention recognition |
| title_full_unstemmed | Solving Dec-MDPs with options and intention recognition |
| title_short | Solving Dec-MDPs with options and intention recognition |
| title_sort | solving dec mdps with options and intention recognition |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/106028 |
| work_keys_str_mv | AT cruzgabrielmengmassachusettsinstituteoftechnology solvingdecmdpswithoptionsandintentionrecognition AT cruzgabrielmengmassachusettsinstituteoftechnology solvingdecentralizedmarkovdecisionprocesseswithoptionsandintentionrecognition |