Is Bayesian Imitation Learning the Route to Believable Gamebots?
Thurau C, Paczian T, Bauckhage C (2005)
In: Proc. GAME-ON North America. 3-9.
Konferenzbeitrag
| Veröffentlicht | Englisch
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Thurau, Christian;
Paczian, T.;
Bauckhage, ChristianUniBi
Einrichtung
Abstract / Bemerkung
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 imitation learning. In this paper, we investigate the use of Bayesian imitation learning in realizing more life-like computer game characters. Following our general strategy of analyzing the network traffic of multi-player online games, we will present experiments in automatic imitation of behaviors contained in human generated data. Our results show that the Bayesian framework indeed leads to game agent behavior that appears very much human-like.
Erscheinungsjahr
2005
Titel des Konferenzbandes
Proc. GAME-ON North America
Seite(n)
3-9
Page URI
https://pub.uni-bielefeld.de/record/2618331
Zitieren
Thurau C, Paczian T, Bauckhage C. Is Bayesian Imitation Learning the Route to Believable Gamebots? In: Proc. GAME-ON North America. 2005: 3-9.
Thurau, C., Paczian, T., & Bauckhage, C. (2005). Is Bayesian Imitation Learning the Route to Believable Gamebots? Proc. GAME-ON North America, 3-9
Thurau, Christian, Paczian, T., and Bauckhage, Christian. 2005. “Is Bayesian Imitation Learning the Route to Believable Gamebots?”. In Proc. GAME-ON North America, 3-9.
Thurau, C., Paczian, T., and Bauckhage, C. (2005). “Is Bayesian Imitation Learning the Route to Believable Gamebots?” in Proc. GAME-ON North America 3-9.
Thurau, C., Paczian, T., & Bauckhage, C., 2005. Is Bayesian Imitation Learning the Route to Believable Gamebots? In Proc. GAME-ON North America. pp. 3-9.
C. Thurau, T. Paczian, and C. Bauckhage, “Is Bayesian Imitation Learning the Route to Believable Gamebots?”, Proc. GAME-ON North America, 2005, pp.3-9.
Thurau, C., Paczian, T., Bauckhage, C.: Is Bayesian Imitation Learning the Route to Believable Gamebots? Proc. GAME-ON North America. p. 3-9. (2005).
Thurau, Christian, Paczian, T., and Bauckhage, Christian. “Is Bayesian Imitation Learning the Route to Believable Gamebots?”. Proc. GAME-ON North America. 2005. 3-9.
Google Scholar