Imitation learning at all levels of game-AI

Thurau C, Bauckhage C, Sagerer G (2004)
In: Proc. Int. Conf. on Computer Games, Artificial Intelligence,Design and Education. 402-408.

Conference Paper | Published | English

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Imitation is a powerful mechanism the human brain applies to extend its repertoire of solutions and behaviors suitable to solve problems of various kinds. From an abstract point of view, the major advantage of this strategy is that it reduces the search space of apropriate solutions. In this contribution, we discuss if and how the principle of imitation learning can facilitate the programing of life-like computer game charecters. We present different algorithms that learn from human generated training data and we show that machine learning can be applied on different levels of cognitive abstraction.
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Thurau C, Bauckhage C, Sagerer G. Imitation learning at all levels of game-AI. In: Proc. Int. Conf. on Computer Games, Artificial Intelligence,Design and Education. 2004: 402-408.
Thurau, C., Bauckhage, C., & Sagerer, G. (2004). Imitation learning at all levels of game-AI. Proc. Int. Conf. on Computer Games, Artificial Intelligence,Design and Education, 402-408.
Thurau, C., Bauckhage, C., and Sagerer, G. (2004). “Imitation learning at all levels of game-AI” in Proc. Int. Conf. on Computer Games, Artificial Intelligence,Design and Education 402-408.
Thurau, C., Bauckhage, C., & Sagerer, G., 2004. Imitation learning at all levels of game-AI. In Proc. Int. Conf. on Computer Games, Artificial Intelligence,Design and Education. pp. 402-408.
C. Thurau, C. Bauckhage, and G. Sagerer, “Imitation learning at all levels of game-AI”, Proc. Int. Conf. on Computer Games, Artificial Intelligence,Design and Education, 2004, pp.402-408.
Thurau, C., Bauckhage, C., Sagerer, G.: Imitation learning at all levels of game-AI. Proc. Int. Conf. on Computer Games, Artificial Intelligence,Design and Education. p. 402-408. (2004).
Thurau, Christian, Bauckhage, Christian, and Sagerer, Gerhard. “Imitation learning at all levels of game-AI”. Proc. Int. Conf. on Computer Games, Artificial Intelligence,Design and Education. 2004. 402-408.
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