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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorDignum, F.P.M.
dc.contributor.authorRun, C.P.A. van
dc.date.accessioned2018-07-19T17:04:57Z
dc.date.available2018-07-19T17:04:57Z
dc.date.issued2011
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/29596
dc.description.abstractThe battle simulator RoboCode is a competitive Java programming challenge, wherein one can program a competitive battle tank. By exploring the possibili- ties of using machine learning, especially reinforcement learning, a learning battle tank is designed. to design a learning battle tank. A short survey of reinforcement learning in general is made and an in depth analysis of the RoboCode environment is performed. Finally the design is implemented and tested.
dc.description.sponsorshipUtrecht University
dc.format.extent1504689
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleReinforcement Learning: Developing a battle tank for the RoboCode battle simulator
dc.type.contentBachelor Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsRobocode;reinforcement;artificial intelligence;machine learning;Java
dc.subject.courseuuCognitive Artificial Intelligence


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