dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Dignum, F.P.M. | |
dc.contributor.author | Run, C.P.A. van | |
dc.date.accessioned | 2018-07-19T17:04:57Z | |
dc.date.available | 2018-07-19T17:04:57Z | |
dc.date.issued | 2011 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/29596 | |
dc.description.abstract | The 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.sponsorship | Utrecht University | |
dc.format.extent | 1504689 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | Reinforcement Learning: Developing a battle tank for the RoboCode battle simulator | |
dc.type.content | Bachelor Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | Robocode;reinforcement;artificial intelligence;machine learning;Java | |
dc.subject.courseuu | Cognitive Artificial Intelligence | |