Reinforcement – Learning for behavioral detection for 3Dplayer

dc.AffiliationOctober University for modern sciences and Arts (MSA)  
dc.contributor.authorNassar, Mohab Ali
dc.date.accessioned2021-01-27T06:30:21Z
dc.date.available2021-01-27T06:30:21Z
dc.date.issued2020
dc.descriptionComputer sciences distinguished graduation projects 2020en_US
dc.description.abstractTechnology each day evolves rapidly. It evolves in all fields . and one of those fields are games. Game industry now days has a huge place leading technology due to its huge number of people that consume it. So it evolves to be realistic as possible.so the main idea of this project is to eliminate the repeating and boredom that exists in the game industry now days . so the main objective of this project is to make a interactive game where the enemy which will be a non-player character to learn how the main player of the game plays and start to dodge his move and so on. And that how to eliminate all kind of boredom and the repeating stuff in the game industry.en_US
dc.description.sponsorshipDr. Ahmed Farouken_US
dc.identifier.citationCopyright © 2021 MSA University. All Rights Reserved.en_US
dc.identifier.urihttp://repository.msa.edu.eg/xmlui/handle/123456789/4381
dc.language.isoenen_US
dc.publisherOctober University for Modern Sciences and Artsen_US
dc.relation.ispartofseriesCOMPUTER SCIENCES DISTINGUISHED PROJECTS 2020;
dc.subjectUniversity of Modern Sciences and Artsen_US
dc.subjectOctober University for Modern Sciences and Artsen_US
dc.subjectجامعة أكتوبر للعلوم الحديثة و الآدابen_US
dc.subjectMSA Universityen_US
dc.subjectLearning for behavioral detectionen_US
dc.titleReinforcement – Learning for behavioral detection for 3Dplayeren_US
dc.typeOtheren_US

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