Designing reinforcement learning framework for a finite state machine

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dc.contributor.authorSharma, Rashmi
dc.date.accessioned2022-04-19T06:37:16Z
dc.date.available2022-04-19T06:37:16Z
dc.date.issued2020-06
dc.descriptionThesis submitted in partial fulfillment of the requirements for the award of the Degree of Doctor of Philosophy (Computer Science and Engineering)en_US
dc.identifier.citationUnder the guidance of Dr. Inder Singh, Assistant Professor, UPES & Dr. Ashutosh Pasricha, OFS Director, Schlumberger - Indiaen_US
dc.identifier.urihttp://hdl.handle.net/123456789/3821
dc.language.isoenen_US
dc.publisherSchool of Computer Science, UPES, Dehradunen_US
dc.subjectThesisen_US
dc.subjectComputer Science and Engineeringen_US
dc.subjectReinforcement Learning Algorithmen_US
dc.subjectAutonomous Mobile Robotsen_US
dc.subjectAutonomous Bipedal Robotsen_US
dc.subjectForgetting Mechanism Incorporationen_US
dc.subjectVision-based Navigationen_US
dc.subjectSURF Algorithmen_US
dc.titleDesigning reinforcement learning framework for a finite state machineen_US
dc.typeThesisen_US

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