Asymptotically efficient adaptive allocation rules

Asymptotically efficient adaptive allocation rules

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http://www.wikidata.org/entity/Q56675673
Bandit solutions provide unified ethical models for randomized clinical trials and comparative effectiveness researchNatural search algorithms as a bridge between organisms, evolution, and ecologyReward maximization justifies the transition from sensory selection at childhood to sensory integration at adulthood.Ultrafast photonic reinforcement learning based on laser chaos.Optimal Behavior is Easier to Learn than the Truth.Risk-aware multi-armed bandit problem with application to portfolio selection.Per-Round Knapsack-Constrained Linear Submodular Bandits.Recommendation System for Adaptive Learning.Bayesian optimization for genomic selection: a method for discovering the best genotype among a large number of candidates.Reward-modulated Hebbian learning of decision making.MULTI-ARMED BANDITS UNDER GENERAL DEPRECIATION AND COMMITMENTOn Sequencing Two Types of Tasks on a Single Processor under Incomplete InformationFinite-time Analysis of the Multiarmed Bandit ProblemAn asymptotically optimal policy for finite support models in the multiarmed bandit problem
P2860

Asymptotically efficient adaptive allocation rules

Item
http://www.wikidata.org/entity/Q56675673
description
im März 1985 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована в березні 1985
@uk
name
Asymptotically efficient adaptive allocation rules
@en
Asymptotically efficient adaptive allocation rules
@nl
type
label
Asymptotically efficient adaptive allocation rules
@en
Asymptotically efficient adaptive allocation rules
@nl
prefLabel
Asymptotically efficient adaptive allocation rules
@en
Asymptotically efficient adaptive allocation rules
@nl
P1433
P1476
P2093
P2860
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P31
P356
P407
P433
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P50
P577
P356
P1433
P1476
Asymptotically efficient adaptive allocation rules
@en
P2093
P2860
P304
P31
P356
10.1016/0196-8858(85)90002-8
P407
P433
P478
P50
P577