We search the tree of possible mode sequences with an algorithm called optimistic minimax search with dwell time (OMSd), showing that it obtains a solution close to the minimax-optimal one, and we characterize
MINIMAXGAMES,SPINGLASSESANDTHE POLYNOMIAL-TIMEHIERARCHYOFCOMPLEXITYCLASSES VARGAPETER Abstract.Weusethenegativereplicamethod,whichwasoriginallydevel- opedforthestudyofoverfrustationindisorderedsystem,toinvestigatethe statisticalbehaviourofthecostfunctionofminimaxgames.Thesegames aretreatedashierarchicalstatisticalmechanical...
PAC-RL:Fiechter [34] first proposed the PAC RL framework, and algorithms with sample complexity O((SAH3/2) log(1/)) have been developed [35,36], which are minimax-optimal in time-inhomogeneous MDPs [37]. These algorithms combine a well-chosen halting rule with an optimistic sampling rul...
1.1 About cost-complexity pruning Even though the original cost function of the CART algorithm described by [6] is penalised proportionally to its number of leaves \(n_L\), several works on the matter suggest other types of penalty. [3] shows that applying risk bounds to CART implies a pe...
This paper, by using generating unit clustering procedure, reduced the complexity of power system. It also calculated stability sensitivity coefficients for utilization in constrained economic dispatch. The test system selected was the American southwest real network including 632 buses and 89 machines. ...
Moreover, through analyzing the computational complexity of the two stages, we illustrate an interesting phenomenon that larger sample size can reduce the total iteration complexity. Our framework motivates a general paradigm for solving many complex statistical problems which involve nonconvex optimization...
Examples of Time Complexity Jyh-Shing Roger Jang (張智星) CSIE Dept, National Taiwan University Time Complexity Examples: O(n) for (i=0; i<n; i++) { statements… } for (i=0; i<n; i=i+2) { statements… } for (i=0; i<n; i=i+50) { statements… } Time Complexity Examples...
PYRAFORMER: LOW-COMPLEXITY PYRAMIDAL ATTENTION FOR LONG-RANGE TIME SERIES MODELING AND FORECASTING ICLR 2022 Code link Electricity, Wind, ETT data and App Flow a novel model based on pyramidal attention that can effectively describe both short and long temporal dependencies with low time and space ...
There are many metrics designed to measure the computational complexity of the algorithms such as Floating Point Operations Per Second (FLOPS), Big O notation, Model Fitting (MF), memory bandwidth, etc. Although all these metrics are valuable, given the experimental nature of this study, CT was...
the robot will not take any action to avoid obstacles until it is close to them (refer to the Figure 2 in Zeng et al. (2021)). One way to solve this problem is to use a larger horizon, but that will increase the computational complexity in the optimization. We refer the reader to ...