Optimal experimental design for a class of bandit problems

No abstract is available for this paper.

• Publication year

  2010

• Venue

  Journal of Mathematical Psychology

• Publication date

  2010-12-01

• Fields of study

  Mathematics, Computer Science, Psychology

• Identifiers
  DOI 10.1016/J.JMP.2010.08.002
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Psychological models of human and optimal performance in bandit problems

  2011cited by this paper
• Efficient Learning and Feature Selection in High-Dimensional Regression

  2010cited by this paper
• Adaptive Design Optimization: A Mutual Information-Based Approach to Model Discrimination in Cognitive Science

  2010cited by this paper
• A Bayesian analysis of human decision-making on bandit problems

  2009influential reference
• Optimal experimental design for model discrimination.

  2009influential reference
• A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods

  2008cited by this paper
• Three case studies in the Bayesian analysis of cognitive models

  2008cited by this paper
• Introduction to statistical relational learning

  2007cited by this paper
• Graphical Models in a Nutshell

  2007cited by this paper
• Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration

  2007cited by this paper
• Bayesian-Optimal Design via Interacting Particle Systems

  2006cited by this paper
• Cortical substrates for exploratory decisions in humans

  2006cited by this paper
• Elements of Information Theory

  2005cited by this paper
• Asymptotic Theory of Information-Theoretic Experimental Design

  2005cited by this paper
• Optimal Bayesian Design by Inhomogeneous Markov Chain Simulation

  2004cited by this paper
• Simulation-Based Optimal Design

  1999influential reference
• General methods for monitoring convergence of iterative simulations

  1998influential reference
• Bandit problems and the exploration/exploitation tradeoff

  1998cited by this paper
• Reinforcement Learning: An Introduction

  1998influential reference
• Computing Bayes Factors by Combining Simulation and Asymptotic Approximations

  1997cited by this paper
• Reinforcement Learning: A Survey

  1996cited by this paper
• Bayes factors

  1995cited by this paper
• Bayesian Experimental Design: A Review

  1995cited by this paper
• Optimum Experimental Designs

  1995cited by this paper
• Optimum experimental designs

  1994cited by this paper
• Information-Based Objective Functions for Active Data Selection

  1992cited by this paper
• Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments

  1991influential reference
• Bandit Problems, Sequential Allocation of Experiments

  1987cited by this paper
• Bandit processes and dynamic allocation indices

  1979influential reference
• Discrimination Among Mechanistic Models

  1967cited by this paper
• Effects of a Random versus Pattern Instructional Set in a Contingent Partial Reinforcement Situation

  1957cited by this paper
• On a Measure of the Information Provided by an Experiment

  1956cited by this paper
• Anticipation of reward as a function of partial reinforcement.

  1956cited by this paper
• Some aspects of the sequential design of experiments

  1952cited by this paper

• Metacognitive sensitivity predicts the quality of information search in value-based decision making.

  2025cites this paper
• Enhancing experimental design through Bayes factor design analysis: insights from multi-armed bandit tasks

  2024cites this paper
• Designing optimal behavioral experiments using machine learning

  2023cites this paper
• Considering the Relationship Between Estimation Precision and Model Selection

  2023cites this paper
• Stimulus Selection in a Q-learning Model Using Fisher Information and Monte Carlo Simulation

  2023cites this paper
• Adaptive Design Optimization for a Mnemonic Similarity Task.

  2022cites this paper
• Bayesian Optimal Experimental Design for Simulator Models of Cognition

  2021cites this paper
• A cognitive modeling analysis of risk in sequential choice tasks

  2020cites this paper
• Computational optimization of associative learning experiments

  2019cites this paper
• Uncovering noisy social signals: Using optimization methods from experimental physics to study social phenomena

  2017cites this paper
• Lock in Feedback in Sequential Experiment

  2015cites this paper
• Lock in Feedback in Sequential Experiments

  2015cites this paper
• Contributions to Bayesian experimental design

  2014cites this paper
• 1 Model Evaluation and Selection

  2014cites this paper
• Thompson sampling with the online bootstrap

  2014cites this paper
• The use of Thompson sampling to increase estimation precision

  2014cites this paper
• Standardized covariance—A measure of association, similarity and co-riskiness between choice options

  2014cites this paper
• Beyond Dichotomy: Dynamics of Choice in Compositional Space

  2014cites this paper
• Model Evaluation and Selection

  2014cites this paper
• Why and How to Measure the Association between Choice Options

  2013cites this paper
• Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach

  2013cites this paper
• The Bayesian evaluation of categorization models: comment on Wills and Pothos (2012).

  2012cites this paper
• Final Report: Exploration and Exploitation in Structured Environments

  2012cites this paper
• Adaptive Design Optimization for Model Discrimination under Model Misspecification

  2012cites this paper
• Human Problem Solving in 2010

  2012cites this paper
• Adaptive Design Optimization: A Mutual Information-Based Approach to Model Discrimination in Cognitive Science

  2010cites this paper
• Updating Mental Models: Insights from Playing Rock, Paper, Scissors with Stroke Patients

  2010cites this paper
• Journal Articles

  1983cites this paper
• Edinburgh Research Explorer Designing Optimal Behavioral Experiments Using Machine Learning

  year unknowncites this paper
• UvA-DARE (Digital Academic Repository) Robust modeling in cognitive science

  year unknowncites this paper