نتایج جستجو برای: partially tests

تعداد نتایج: 462851  

Journal: :international journal of nonlinear analysis and applications 2015
zoran kadelburg stojan radenovic

in this paper, some recent results established by marin borcut [m. borcut, tripled fixed point theorems for monotone mappings in partially ordered metric spaces, carpathian j. math. 28, 2 (2012), 207--214] and [m. borcut, tripled coincidence theorems for monotone mappings in partially ordered metric spaces, creat. math. inform. 21, 2 (2012), 135--142] are generalized and improved, with much sho...

Journal: :bulletin of the iranian mathematical society 2015
a. r. khan n. hussain n. yasmin n. shafqat

the aim of this paper is to establish random coincidence point results for weakly increasing random operators in the setting of ordered metric spaces by using generalized altering distance functions. our results present random versions and extensions of some well-known results in the current literature.

Journal: :international journal of group theory 2013
tao zhao qingliang zhang

suppose that $h$ is a subgroup of $g$‎, ‎then $h$ is said to be‎ ‎$s$-permutable in $g$‎, ‎if $h$ permutes with every sylow subgroup of‎ ‎$g$‎. ‎if $hp=ph$ hold for every sylow subgroup $p$ of $g$ with $(|p|‎, ‎|h|)=1$)‎, ‎then $h$ is called an $s$-semipermutable subgroup of $g$‎. ‎in this paper‎, ‎we say that $h$ is partially $s$-embedded in $g$ if‎ ‎$g$ has a normal subgroup $t$ such that $ht...

1999
Terry A. Marsh Walter A. Haas Hong Yan

In this paper we investigate the behavior of credit yield spreads in an equilibrium framework in which the risk-free interest rate and yields on risky debt are jointly and endogenously determined. The model is one of a partially observable pure exchange economy in which debt is a contingent claim on the cash flow. We find that an increase in risk aversion or an increase in uncertainty about gro...

1996
Sylvie Thiébaux Marie-Odile Cordier Olivier Jehl Jean-Paul Krivine

Integrating diagnosis and repair is particularly crucial when gaining sufficient information to discriminate between several candidate diagnoses requires carrying out some repair actions. A typical case is supply restoration in a faulty power distribution system. This problem, which is a major concern for electricity distributors, features partial observability, and stochastic repair actions wh...

Journal: :AI Magazine 2012
Michael Buro David Churchill

106 AI MAGAZINE RTS games — such as StarCraft by Blizzard Entertainment and Command and Conquer by Electronic Arts — are popular video games that can be described as real-time war simulations in which players delegate units under their command to gather resources, build structures, combat and support units, scout opponent locations, and attack. The winner of an RTS game usually is the player or...

1996
James Helwig Peter Haddawy

ing Actions The DRIPS planner primarily uses two types of abstraction: interaction-abstraction and sequential abstraction. In this section, we briefly describe each. For a formal theory and detailed discussion of action abstraction that includes both these types of abstraction,

Journal: :Revue d'Intelligence Artificielle 2007
Vincent Thomas Christine Bourjot Vincent Chevrier

RÉSUMÉ. Cet article se focalise sur des approches formelles pour la construction de systèmes multi-agents. Ce travail a cherché à proposer des apprentissages décentralisés pour construire les comportements d’agents sociaux. Cet article propose un formalisme original, l’interacDEC-POMDP inspiré des modèles markoviens au sein duquel les agents peuvent interagir directement et localement entre eux...

2010
Finale Doshi-Velez David Wingate Nicholas Roy Joshua B. Tenenbaum

We consider reinforcement learning in partially observable domains where the agent can query an expert for demonstrations. Our nonparametric Bayesian approach combines model knowledge, inferred from expert information and independent exploration, with policy knowledge inferred from expert trajectories. We introduce priors that bias the agent towards models with both simple representations and s...

2011
Finale Doshi-Velez Zoubin Ghahramani

It is commonly stated that reinforcement learning (RL) algorithms require more samples to learn than humans. In this work, we investigate this claim using two standard problems from the RL literature. We compare the performance of human subjects to RL techniques. We find that context—the meaningfulness of the observations—plays a significant role in the rate of human RL. Moreover, without conte...

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