Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Thurau, Christian"'
Autor:
Goyal, Raghav, Kahou, Samira Ebrahimi, Michalski, Vincent, Materzyńska, Joanna, Westphal, Susanne, Kim, Heuna, Haenel, Valentin, Fruend, Ingo, Yianilos, Peter, Mueller-Freitag, Moritz, Hoppe, Florian, Thurau, Christian, Bax, Ingo, Memisevic, Roland
Neural networks trained on datasets such as ImageNet have led to major advances in visual object classification. One obstacle that prevents networks from reasoning more deeply about complex scenes and situations, and from integrating visual knowledge
Externí odkaz:
http://arxiv.org/abs/1706.04261
The analysis of user behavior in digital games has been aided by the introduction of user telemetry in game development, which provides unprecedented access to quantitative data on user behavior from the installed game clients of the entire populatio
Externí odkaz:
http://arxiv.org/abs/1407.3950
Publikováno v:
In Entertainment Computing January 2014 5(1):21-32
Publikováno v:
16th Computer Vision Winter Workshop
16th Computer Vision Winter Workshop, Feb 2011, Mitterberg, Austria
16th Computer Vision Winter Workshop, Feb 2011, Mitterberg, Austria
International audience; With the increasing availability of annotated multimedia data on the Internet, techniques are in demand that allow for a principled joint processing of different types of data. Multiview learning and multiview clustering attem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2d9cdabb9beec80a0f8475ae06eb6738
https://inria.hal.science/hal-00652879/document
https://inria.hal.science/hal-00652879/document
In imitation learning, agents are trained to carry out certain actions by examining a demonstration of the task at hand. Though common in robotics, little work has been done in translating these concepts to computer games. Given that present-day game
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2294::b0583241828e223227423468e7f51f72
https://pub.uni-bielefeld.de/record/1596787
https://pub.uni-bielefeld.de/record/1596787
Autor:
Thurau, Christian
Computational skill acquisition in robots and simulated agents has been a topic of increasing popularity throughout the last years. Despite impressive progress, autonomous behavior at a level of animals and humans are not yet replicated by machines.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2294::6c1445a5b55c0aa39e2b3497eb22b79b
https://pub.uni-bielefeld.de/record/2304157
https://pub.uni-bielefeld.de/record/2304157
As it strives to imitate observably successful actions, imitation learning allows for a quick acquisition of proven behaviors. Recent work from psychology and robotics suggests that Bayesian probability theory provides a mathematical framework for im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2294::74a75fc31703f8063243b40fe7a35f4c
https://pub.uni-bielefeld.de/record/2618307
https://pub.uni-bielefeld.de/record/2618307
Modern FPS games do not only demand fast reactions from the participating human players but also require them to think tactically and strategically. While artifical players usually surpass their human counterparts in reaction time and accuracy, they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2294::a254ea86a4c05f8862aca54eecefd82c
https://pub.uni-bielefeld.de/record/2618350
https://pub.uni-bielefeld.de/record/2618350