An approach to enhance reinforcement learning in agent
An approach to enhance reinforcement learning in agent
| au.identifier.bibno | 0014-9626 | |
| au.identifier.callno | Thesis 006.31 T367a 2002 | |
| dc.contributor.advisor | Jirapun Daengdej | |
| dc.contributor.author | Thanadee Ujjubandh | |
| dc.date.accessioned | 2015-06-26T05:17:01Z | |
| dc.date.available | 2015-06-26T05:17:01Z | |
| dc.date.issued | 2002 | |
| dc.description | Submitted in partial fulfillment of the requirements for the degree of Master of Science In Computer Science Assumption Univ. | |
| dc.description | Includes bibliography. | |
| dc.format.extent | 33 p. : ill. 30 cm. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | https://repository.au.edu/handle/6623004553/2791 | |
| dc.language.iso | eng | |
| dc.publisher | Bangkok : Assumption University | |
| dc.rights | This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner. | |
| dc.subject.other | Reinforcement learning (Machine learning) | |
| dc.title | An approach to enhance reinforcement learning in agent | en_US |
| dc.type | Text | |
| mods.edition | 1st ed. | |
| mods.genre | Thesis | |
| mods.location.physicalLocation | AU Archives, 4th Floor (Cathedral of Learning) | |
| thesis.degree.department | School of Science and Technology | |
| thesis.degree.grantor | Assumption University | |
| thesis.degree.level | Masters |