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» Optimization of a Billiard Player - Tactical Play
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ISWC
1997
IEEE
13 years 9 months ago
Stochasticks: Augmenting the Billiards Experience with Probabilistic Vision and Wearable Computers
We propose a practical application of wearable computing and augmented reality which enhances the game of billiards. A vision algorithm is implemented which operates in interactiv...
Tony Jebara, Cyrus Eyster, Joshua Weaver, Thad Sta...
TCIAIG
2010
12 years 11 months ago
Modeling Player Experience for Content Creation
In this paper, we use computational intelligence techniques to built quantitative models of player experience for a platform game. The models accurately predict certain key affecti...
Christopher Pedersen, Julian Togelius, Georgios N....
TSP
2010
12 years 11 months ago
Distributed learning in multi-armed bandit with multiple players
We formulate and study a decentralized multi-armed bandit (MAB) problem. There are distributed players competing for independent arms. Each arm, when played, offers i.i.d. reward a...
Keqin Liu, Qing Zhao
CONCUR
2005
Springer
13 years 10 months ago
Games Where You Can Play Optimally Without Any Memory
Abstract. Reactive systems are often modelled as two person antagonistic games where one player represents the system while his adversary represents the environment. Undoubtedly, t...
Hugo Gimbert, Wieslaw Zielonka
KI
2008
Springer
13 years 4 months ago
Symbolic Classification of General Two-Player Games
Abstract. In this paper we present a new symbolic algorithm for the classification, i. e. the calculation of the rewards for both players in case of optimal play, of two-player gam...
Stefan Edelkamp, Peter Kissmann