Stefano Palminteri

Stefano Palminteri

École Normale Supérieure

H-index: 33

Europe-France

About Stefano Palminteri

Stefano Palminteri, With an exceptional h-index of 33 and a recent h-index of 31 (since 2020), a distinguished researcher at École Normale Supérieure, specializes in the field of Learning and Decision-Making, Computational Cognitive Science, Decisions From Experience, Behavioral Decision-Making.

His recent articles reflect a diverse array of research interests and contributions to the field:

Relative Value Biases in Large Language Models

Does the notion of intrinsic reward explain context-dependent valuation in reinforcement learning?

Experience and advice consequences shape information sharing strategies

Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks

Mesoscale effects of trader learning behaviors in financial markets: A multi-agent reinforcement learning study

Modelling crypto markets by multi-agent reinforcement learning

Comparing the test-retest reliability of behavioral, computational and self-reported individual measures of reward and punishment sensitivity in relation to mental health symptoms

How to prepare a rebuttal letter: Some advice from a scientist, reviewer and editor

Stefano Palminteri Information

University

Position

(ENS) INSERM

Citations(all)

4012

Citations(since 2020)

2815

Cited By

2200

hIndex(all)

33

hIndex(since 2020)

31

i10Index(all)

48

i10Index(since 2020)

46

Email

University Profile Page

École Normale Supérieure

Google Scholar

View Google Scholar Profile

Stefano Palminteri Skills & Research Interests

Learning and Decision-Making

Computational Cognitive Science

Decisions From Experience

Behavioral Decision-Making

Top articles of Stefano Palminteri

Title

Journal

Author(s)

Publication Date

Relative Value Biases in Large Language Models

arXiv preprint arXiv:2401.14530

William M Hayes

Nicolas Yax

Stefano Palminteri

2024/1/25

Does the notion of intrinsic reward explain context-dependent valuation in reinforcement learning?

Sophie Bavard

Stefano Palminteri

2024/1/17

Experience and advice consequences shape information sharing strategies

Hernan Anllo

Gil Salamander

Stefano Palminteri

Nichola Raihani

Uri Hertz

2024/4/11

Inferring the Phylogeny of Large Language Models and Predicting their Performances in Benchmarks

arXiv preprint arXiv:2404.04671

Nicolas Yax

Pierre-Yves Oudeyer*

Stefano Palminteri*

2024/4/6

Mesoscale effects of trader learning behaviors in financial markets: A multi-agent reinforcement learning study

Plos one

Johann Lussange

Stefano Vrizzi

Stefano Palminteri

Boris Gutkin

2024/4/1

Modelling crypto markets by multi-agent reinforcement learning

arXiv preprint arXiv:2402.10803

Johann Lussange

Stefano Vrizzi

Stefano Palminteri

Boris Gutkin

2024/2/16

Comparing the test-retest reliability of behavioral, computational and self-reported individual measures of reward and punishment sensitivity in relation to mental health symptoms

Stefano Vrizzi

Anis Najar

Cédric Lemogne

Stefano Palminteri

Maël Lebreton

2023/10/6

How to prepare a rebuttal letter: Some advice from a scientist, reviewer and editor

Stefano Palminteri

2023/2

Objective models of subjective feelings

Stefano Palminteri

Romane Cecchi

2023/5/15

Decision-making under risk and ambiguity in adults with Tourette syndrome

Psychological Medicine

Cyril Atkinson-Clement

Mael Lebreton

Leïla Patsalides

Astrid de Liege

Yanica Klein

...

2023/8

Adaptive Coding is Optimal in Reinforcement Learning

Available at SSRN 4320894

Aldo Rustichini

Magdalena Soukupova

Stefano Palminteri

2023

Experiential values are underweighted in decisions involving symbolic options

Nature human behaviour

Basile Garcia

Maël Lebreton

Sacha Bourgeois-Gironde

Stefano Palminteri

2023/4

The functional form of value normalization in human reinforcement learning

Elife

Sophie Bavard

Stefano Palminteri

2023/7/10

Recent Opioid Use Impedes Range Adaptation in Reinforcement Learning in Human Addiction

Biological Psychiatry

Maëlle CM Gueguen

Hernán Anlló

Darla Bonagura

Julia Kong

Sahar Hafezi

...

2023/12/13

Choice-confirmation bias and gradual perseveration in human reinforcement learning.

Behavioral Neuroscience

Stefano Palminteri

2023

Stock price formation: Precepts from a multi-agent reinforcement learning model

Computational Economics

Johann Lussange

Stefano Vrizzi

Sacha Bourgeois-Gironde

Stefano Palminteri

Boris Gutkin

2023/4

Studying and improving reasoning in humans and machines

Nicolas Yax*

Hernan Anllo*

Stefano Palminteri

2023/7/6

Neural and computational underpinnings of biased confidence in human reinforcement learning

Nature Communications

Chih-Chung Ting

Nahuel Salem-Garcia

Stefano Palminteri

Jan B Engelmann

Maël Lebreton

2023/10/28

Outcome context-dependence is not WEIRD: Comparing reinforcement-and description-based economic preferences worldwide

Research Square

Hernán Anlló

Sophie Bavard

FatimaZzahra Benmarrakchi

Darla Bonagura

Fabien Cerrotti

...

2023/3/2

Linking confidence biases to reinforcement-learning processes.

Psychological Review

Nahuel Salem-Garcia

Stefano Palminteri

Maël Lebreton

2023/7

See List of Professors in Stefano Palminteri University(École Normale Supérieure)

Co-Authors

H-index: 261
Prof. T.W. Robbins

Prof. T.W. Robbins

University of Cambridge

H-index: 236
Chris Frith

Chris Frith

University College London

H-index: 100
Sarah-Jayne Blakemore

Sarah-Jayne Blakemore

University of Cambridge

H-index: 41
Predrag Petrovic

Predrag Petrovic

Karolinska Institutet

H-index: 29
Valentin Wyart

Valentin Wyart

École Normale Supérieure

H-index: 28
Giorgio Coricelli

Giorgio Coricelli

University of Southern California

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