Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/204421
DC FieldValue
dc.titleTHEORY & ALGORITHMS FOR REINFORCEMENT LEARNING: APPLICATION IN PUBLIC TRANSPORTATION PLANNING
dc.contributor.authorNEO YU SHAN
dc.date.accessioned2021-10-28T01:07:28Z
dc.date.available2021-10-28T01:07:28Z
dc.date.issued2018
dc.identifier.citationNEO YU SHAN (2018). THEORY & ALGORITHMS FOR REINFORCEMENT LEARNING: APPLICATION IN PUBLIC TRANSPORTATION PLANNING. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/204421
dc.typeThesis
dc.contributor.departmentMATHEMATICS
dc.contributor.supervisorLI QIANXIAO
dc.description.degreeBachelor's
dc.description.degreeconferredBACHELOR OF SCIENCE (HONOURS)
Appears in Collections:Bachelor's Theses

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
A0130549.pdf294.22 kBAdobe PDF

CLOSED

None

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.