Results 151 to 160 of about 18,568,643 (214)

Reinforcement learning framework for computerized adaptive testing using multi armed bandit approach. [PDF]

Sci Rep
Tang B, Li S, Zhao C.
europepmc   +1 more source

Replicable Bandits for Digital Health Interventions. [PDF]

Stat Sci
Zhang KW, Closser N, Trella AL, Murphy SA.   +3 more
europepmc   +1 more source

Automatic value learning results in counterproductive human behavior. [PDF]

Nat Commun
Ben-Artzi I, Pereg M, Luria R, Moran R, Shahar N.   +4 more
europepmc   +1 more source

Social Learning in One-Arm Bandit Problems [PDF]

Dinah Rosenberg, Eilon Solan, Nicolas Vieille   +2 more
core  

Recurrent Neural Network Exploration Strategies During Reinforcement Learning Depend on Network Capacity. [PDF]

Comput Brain Behav
Flimm H, Tuzsus D, Pappas I, Peters J.
europepmc   +1 more source

Comparative Evaluation of Bandit-Style Heuristic Policies for Moving Target Detection in a Linear Grid Environment. [PDF]

Sensors (Basel)
Kang H, Ahn M, Seo Y.
europepmc   +1 more source

An Asymptotic Minimax Theorem for the Two Armed Bandit Problem

The Annals of Mathematical Statistics, 1960
openaire   +3 more sources

Evolving choice hysteresis in reinforcement learning: Comparing the adaptive value of positivity bias and gradual perseveration. [PDF]

Proc Natl Acad Sci U S A
Hoxha I, Sperber L, Palminteri S.
europepmc   +1 more source

cpm: A python library for theory-driven modelling in computational psychiatry. [PDF]

PLoS Comput Biol
Dome L, Hezemans FH, Kadri K, Wagner BJ, Webb A, Hauser TU.   +5 more
europepmc   +1 more source

Resolving Feynman's restaurant problem reveals optimal solutions and human strategies. [PDF]

Proc Natl Acad Sci U S A
Christian B, Russek EM, Griffiths TL.
europepmc   +1 more source