Richard L. Lewis

Richard L. Lewis

University of Michigan

H-index: 47

North America-United States

About Richard L. Lewis

Richard L. Lewis, With an exceptional h-index of 47 and a recent h-index of 28 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of cognitive science, psycholinguistics, artificial intelligence.

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

Large language models can implement policy iteration

Combining Behaviors with the Successor Features Keyboard

Composing task knowledge with modular successor feature approximators

Why do valence asymmetries emerge in value learning? A reinforcement learning account

In-context analogical reasoning with pre-trained language models

Grasp: Gradient-based affordance selection for planning

Rapid adaptation of predictive models during language comprehension: Aperiodic EEG slope, individual alpha frequency and idea density modulate individual differences in real …

Heuristics contribute to sensorimotor decision-making under risk

Richard L. Lewis Information

University

Position

Professor of Psychology Linguistics and Cognitive Science

Citations(all)

11917

Citations(since 2020)

4571

Cited By

9254

hIndex(all)

47

hIndex(since 2020)

28

i10Index(all)

86

i10Index(since 2020)

48

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Richard L. Lewis Skills & Research Interests

cognitive science

psycholinguistics

artificial intelligence

Top articles of Richard L. Lewis

Title

Journal

Author(s)

Publication Date

Large language models can implement policy iteration

Advances in Neural Information Processing Systems

Ethan Brooks

Logan Walls

Richard L Lewis

Satinder Singh

2024/2/13

Combining Behaviors with the Successor Features Keyboard

Advances in Neural Information Processing Systems

Wilka Carvalho Carvalho

Andre Saraiva

Angelos Filos

Andrew Lampinen

Loic Matthey

...

2024/2/13

Composing task knowledge with modular successor feature approximators

arXiv preprint arXiv:2301.12305

Wilka Carvalho

Angelos Filos

Richard L Lewis

Satinder Singh

2023/1/28

Why do valence asymmetries emerge in value learning? A reinforcement learning account

Cognitive, Affective, & Behavioral Neuroscience

Chenxu Hao

Lilian E Cabrera-Haro

Ziyong Lin

Patricia A Reuter-Lorenz

Richard L Lewis

2023/6

In-context analogical reasoning with pre-trained language models

arXiv preprint arXiv:2305.17626

Xiaoyang Hu

Shane Storks

Richard L Lewis

Joyce Chai

2023/5/28

Grasp: Gradient-based affordance selection for planning

arXiv preprint arXiv:2202.04772

Vivek Veeriah

Zeyu Zheng

Richard Lewis

Satinder Singh

2022/2/8

Rapid adaptation of predictive models during language comprehension: Aperiodic EEG slope, individual alpha frequency and idea density modulate individual differences in real …

Frontiers in Psychology

Ina Bornkessel-Schlesewsky

Isabella Sharrad

Caitlin A Howlett

Phillip M Alday

Andrew W Corcoran

...

2022/8/26

Heuristics contribute to sensorimotor decision-making under risk

Psychonomic Bulletin & Review

Tyler J. Adkins

Richard L. Lewis

Taraz G. Lee

2021/9/10

Adaptive pairwise weights for temporal credit assignment

Proceedings of the AAAI Conference on Artificial Intelligence

Zeyu Zheng

Risto Vuorio

Richard Lewis

Satinder Singh

2022/6/28

Effects of neural noise on predictive model updating across the adult lifespan

bioRxiv

Ina Bornkessel-Schlesewsky

Phillip M Alday

Andrew W Corcoran

Erica M Wilkinson

Isabella Sharrad

...

2022/12/15

Explaining Valence Asymmetries in Value Learning: A Reinforcement Learning Account

Chenxu Hao

Lilian E Cabrera-Haro

Ziyong Lin

Patricia Reuter-Lorenz

Richard Lewis

2022/1/12

Ethical Choice Reversals

Chenxu Hao

Richard Lewis

2022/6/14

Icon arrays reduce concern over COVID-19 vaccine side effects: a randomized control study

Cognitive Research: Principles and Implications

Madison Fansher

Tyler J Adkins

Poortata Lalwani

Aysecan Boduroglu

Madison Carlson

...

2022/5/7

Opposite reactions to loss incentive by young and older adults: Insights from diffusion modeling.

Psychology and Aging

Hyesue Jang

Richard Lewis

Cindy Lustig

2022/4/25

In-context policy iteration

Ethan Brooks

Logan A Walls

Richard Lewis

Satinder Singh

2022/11/18

Soar as a unified theory of cognition: Spring 1990

Richard L Lewis

Scott B Huffman

Bonnie E John

John E Laird

Jill Fain Lehman

...

2022/3/30

How well do ordinary Americans forecast the growth of COVID-19?

Memory & Cognition

Madison Fansher

Tyler J Adkins

Richard L Lewis

Aysecan Boduroglu

Poortata Lalwani

...

2022/10

Reinforcement learning of implicit and explicit control flow instructions

Ethan A Brooks

Janarthanan Rajendran

Richard L Lewis

Satinder Singh

2021

Accounting for agreement phenomena in sentence comprehension with transformer language models: Effects of similarity-based interference on surprisal and attention

arXiv preprint arXiv:2104.12874

Soo Hyun Ryu

Richard L Lewis

2021/4/26

Learning state representations from random deep action-conditional predictions

Advances in Neural Information Processing Systems

Zeyu Zheng

Vivek Veeriah

Risto Vuorio

Richard L Lewis

Satinder Singh

2021/12/6

See List of Professors in Richard L. Lewis University(University of Michigan)

Co-Authors

H-index: 114
John Jonides

John Jonides

University of Michigan-Dearborn

H-index: 91
Andrew Barto

Andrew Barto

University of Massachusetts Amherst

H-index: 91
Honglak Lee

Honglak Lee

University of Michigan

H-index: 77
Satinder Singh

Satinder Singh

University of Michigan-Dearborn

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