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pro vyhledávání: '"Cleland, Ben"'
Autor:
Cleland, Ben.
Thesis (M.Sc. [i.e. M.C.M.S.])--University of Waikato, 2006.
Includes bibliographical references (p. 167-173) Also available via the World Wide Web.
Includes bibliographical references (p. 167-173) Also available via the World Wide Web.
Publikováno v:
Journal of Interactive Media in Education; Spring2013, p1-17, 17p
Autor:
Sue Gregory, Gregory, Vincent, Orwin, Lindy, Stupans, Ieva, Scutter, Shiela, Warren, Ian, Steel, Caroline, Neundorf, Penny, Bower, Matt, Miller, Charlynn, Mathews, Shane, Butler, Des, Hillier, Mathew, Hearns, Merle, Garcia, Jaime, Jegathesan, Jay Jay, Brown, Ross, Meredith, Grant, Muir-Cochran, Eimear, Flintoff, Kim, Grant, Scott, Atkins, Clare, Gaukrodger, Belma, Jacka, Lisa, Giovanangeli, Angela, Le Rossignol, Karen, Larson, Ian, Cram, Andrew, Linegar, Dale, Wang, Xiangyu, Muir, Tracey, Cleland, Ben, Paillat, Edith, Grenfell, Jenny, Schutt, Stefan, Hay, Lyn, Gu, Ning, Williams, Anthony, Simoff, Simeon, Bogdanovych, Anton, Mccarthy, Angela, Ellis, David, Stokes-Thompson, Frederick, Wood, Denise, Yvonne Masters, Farley, Helen
Publikováno v:
Scopus-Elsevier
University of New England Australia
Future Challenges, Sustainable Futures : Proceedings Ascilite 2012
Monash University
Flinders University PURE
Macquarie University
University of New England Australia
Future Challenges, Sustainable Futures : Proceedings Ascilite 2012
Monash University
Flinders University PURE
Macquarie University
© 2012 ASCILITE. All rights reserved. Virtual worlds (VWs) continue to be used extensively in Australia and New Zealand higher education institutions although the tendency towards making unrealistic claims of efficacy and popularity appears to be ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0853ec02a1e4cc6e5adcb248388f47ce
http://www.scopus.com/inward/record.url?eid=2-s2.0-84912569839&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84912569839&partnerID=MN8TOARS
Autor:
Cleland, Benjamin George
This thesis investigates the use of reinforcement learning to learn to drive a racecar in the simulated environment of the Robot Automobile Racing Simulator. Real-life race driving is known to be difficult for humans, and expert human drivers use com
Externí odkaz:
http://hdl.handle.net/10289/2507