ML techniques developed for tabular data can be applied to any type of data; input data, regardless of its original format, can be mapped into a manifold,
Parallel Randomized Best-First Minimax Search We describe a novel parallel randomized search algorithm for two-player games. The algorithm is a randomized version of Korf and Chickering's best-first se... Y Shoham,S Toledo - 《Artificial Intelligence》 被引量: 55发表: 2001年 Beyond Data and ...
b Direct robot training in the real world poses challenges such as long setup time and the risk of robot arm damage. c Illustration of the design of action and state spaces for DDQN and ASDDQN controllers, and comparison of sample complexity between the two controllers. The action space of ...
Exact forn=1,2, best (smallest) values obtained for eachnbetween 3 and 20 by running akmeans-type clustering algorithm on a50times50regular grid inX; see [28]. The values plotted are therefore not necessarily equal to the true values ofCRn⋆, but we believe that the overestimation is n...
minimax techniquesstatistical analysistrees (mathematics)/ quantile estimate computationspace-efficient on-line methodrecursive methoduniform d-ary treerandom valuesroot nodetall trees/ C1140Z Other topics in statistics C1160 Combinatorial mathematics C4240 Programming and algorithm theoryThe task of computing...
Algorithm 2. Prune Input: Hyperparameter space Λ, observation history H, region radius δ, fraction of the pruned space ν. Output: Pruned hyperparameter space Λpruned ⊆ Λ. 1: Estimate the most similar data sets of the new data set N (Dnew) using Equation 7. 2: Estimate the set...
In this paper, we argue that minimax criterion is a good design criterion for space-time codes over the avionic telemetry channels. This design criterion is different than those of space-time codes over rich scattering Rayleigh fading channels. Theoretical and numerical results show that the codes...
(y)] (4) ply heuristics to prune the search space that may not lead toeasible plans.To address this issue,we propose new dom-nance relations that prune infeasible space and help reduce such that E(t,y(t))=0, t=0, ··· ,N+1 the base of the exponential complexity without sacri...
Algorithm 1 MaxPro coordinate-exchange. Input: n:size of the designp1:number of continuous factorsp:number of factorscons:constraint functionsbounds:bounds of continuous factors and sets of discrete factors. D← randomly generate an initial matrix with consandbounds as inputs fori = 1,…,n ...
As the estimation time increases, the size of the states to be estimated will continue to grow, leading to a sharp increase in computational complexity and a decrease in algorithm efficiency. Typically, a sliding window based on keyframes is used to control the size of the states to be optimi...