• Publications
  • Influence
Modification of UCT with Patterns in Monte-Carlo Go
TLDR
A Monte-Carlo Go program, MoGo, which is the first computer Go program using UCT, is developed, and the modification of UCT for Go application is explained and also the intelligent random simulation with patterns which has improved significantly the performance of MoGo. Expand
Conditional sampling for spectrally discrete max-stable random fields
Max-stable random fields play a central role in modeling extreme value phenomena. We obtain an explicit formula for the conditional probability in general max-linear models, which include a largeExpand
Algorithms for Infinitely Many-Armed Bandits
TLDR
A stochastic assumption is made on the mean-reward of a new selected arm which characterizes its probability of being a near-optimal arm and algorithms based on upper-confidence-bounds applied to a restricted set of randomly selected arms are described and provided on the resulting expected regret. Expand
Exploration exploitation in Go: UCT for Monte-Carlo Go
TLDR
A Monte-Carlo program, MoGo, is developed, which is the first computer Go program using UCT, among which efficient memory management, parametrization, ordering of non-visited nodes and parallelization are explained. Expand
Modifications of UCT and sequence-like simulations for Monte-Carlo Go
  • Yizao Wang, S. Gelly
  • Computer Science
  • IEEE Symposium on Computational Intelligence and…
  • 1 April 2007
TLDR
A Monte-Carlo program, MoGo, which is the first computer Go program using UCT, is developed and the modification of UCT for Go application is explained and also the sequence-like random simulation with patterns which has improved significantly the performance of MoGo. Expand
An invariance principle for stationary random fields under Hannan's condition
We establish an invariance principle for a general class of stationary random fields indexed by $\mathbb Z^d$, under Hannan's condition generalized to $\mathbb Z^d$. To do so we first establish aExpand
On the structure and representations of max-stable processes
We develop classification results for max-stable processes, based on their spectral representations. The structure of max-linear isometries and minimal spectral representations play important roles.Expand
Ergodic properties of sum- and max-stable stationary random fields via null and positive group actions
We establish characterization results for the ergodicity of stationary symmetric $\alpha$-stable (S$\alpha$S) and $\alpha$-Frechet random fields. We show that the result of Samorodnitsky [Ann.Expand
Limiting distribution for the maximal standardized increment of a random walk
Let X1,X2,… be independent identically distributed (i.i.d.) random variables with EXk=0, V arXk=1. Suppose that φ(t)≔logEetXk −σ0 and some σ0>0. Let Sk=X1+⋯+Xk and S0=0. We are interested in theExpand
On the Association of Sum- and Max- Stable Processes
We address the notion of association of sum- and max-stable processes from the perspective of linear and max-linear isometries. We establish the appealing result that these two classes of isometriesExpand
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