… to continuous domains in some cases (in particular continuous action spaces). We here present
an extension of Upper Confidence Trees to continuous … classical Upper Confidence Tree …

… , Upper Confidence Trees [13] provides provably consistent solvers in the finite case. We here
show that Upper Confidence Tree can … with MCTS variants in continuous MDP have been …

… continuous and stochastic sequential decision making problem. Both the decision space and
state space are continuous. For … But, in the case of a high dimensional continuous decision …

… to continuous domains in some cases (in particular continuous action spaces). We here present
an extension of Upper Confidence Trees to continuous … classical Upper Confidence Tree …

… In this paper, we present MCTS, and its extension to continuous/stochastic domains. We
show that on problems with continuous action spaces and infinite support of random variables, …

… In this paper, we consider the general case of multi-dimensional continuous black-box …
This algorithm can be seen as an evolution strategy which uses an upper confidence tree (Kocsis …

… We propose to build a Upper Confidence Tree (UCT) on the simulated experience and
search for the best action to be selected during the on-line learning process. We prove the …

… are to be discriminated by a continuous marker. In this … tree) Youden index and the Euclidean
distance as optimal cutoff selection strategies in the context of generalized umbrella or tree …

… continuously differentiable with respect to βl ∈ Rm and βu ∈ Rk, respectively, and continuously
… the various confidence sets for the split point in a binary decision tree using simulated …

… tree algorithm, Class Confidence Proportion Decision Tree (… In order to make decision trees
robust, we begin by … examples to the minority class continuously until the AUC is optimized …