159 search results - page 1 / 32 » Strategy evaluation in extensive games with importance sampl... |
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Typically agent evaluation is done through Monte Carlo estimation. However, stochastic agent decisions and stochastic outcomes can make this approach inefficient, requiring many s...
AI
2011
Springer
12 years 11 months ago
2011
Springer
The paper focuses on developing effective importance sampling algorithms for mixed probabilistic and deterministic graphical models. The use of importance sampling in such graphi...
SAC
2008
ACM
13 years 4 months ago
2008
ACM
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
ATAL
2007
Springer
13 years 10 months ago
2007
Springer
We consider the problem of finding optimal strategies in infinite extensive form games with incomplete information that are repeatedly played. This problem is still open in lite...
ATAL
2010
Springer
13 years 5 months ago
2010
Springer
We present the logic CTL.STIT, which is the join of the logic CTL with a multi-agent strategic stit-logic variant. CTL.STIT subsumes ATL, and adds expressivity to it that we claim...