86 search results - page 9 / 18 » Modelling Uncertainty in the Game of Go |
ACG
2009
Springer
14 years 2 months ago
2009
Springer
With the recent success of Monte-Carlo tree search algorithms in Go and other games, and the increasing number of cores in standard CPUs, the efficient parallelization of the sear...
ANOR
2002
13 years 7 months ago
2002
We consider an inspection game played on a continuous finite time interval. The inspector wishes to detect a violation as soon as possible after it has been made by the operator. T...
IUI
2003
ACM
14 years 22 days ago
2003
ACM
We present a probabilistic model, based on Dynamic Decision Networks, to assess user affect from possible causes of emotional arousal. The model relies on the OCC cognitive theory...
ATAL
2004
Springer
14 years 27 days ago
2004
Springer
Partially observable decentralized decision making in robot teams is fundamentally different from decision making in fully observable problems. Team members cannot simply apply si...
IJCAI
2001
13 years 8 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...