Saman Iftikhar Qazi (22775) <br/><br/>
Repairing levels for general games using deep autoencoders 

 - Islamabad  (unpublished)  2021 
 - 56 p.  : ill., Col.  ; 30 cm.  +CD 
<br/><br/> Submitted in fulfillment of the requirements for the degree of Master of Science in Software Engineering to the Faculty of Computing.  Includes bibliographical references  Thesis supervisor: Dr. Adeel Zafar 
<br/><br/>Thesis (MS)--Riphah International University, 2021 
<br/><br/><br/>English 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Video Games<br/>Computer Science<br/>Software Engineering<br/>Data Security--Video game description language--GVG-AI framework--Deep autoencoders--Machine learning--VGDL--FC
<br/><br/><label>Dewey Class. No.: </label>006.31  / SAM