Chris R. Sims

22 papers A* 1B 11C 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2025 B conf
Examining the Influence of Stress and Anxiety on Visual Working Memory and Decision-Making.
CogSci
Rochelle Kaper, Alicia Ann Walf, Chris R. Sims
2025 B conf
Validating Predictive Models of Extreme Expertise in Complex Cognitive-Motor Skills.
CogSci
Noah Phillips, Chris R. Sims
2024 J jnl
To Transfer or Not to Transfer: Suppressing Concepts from Source Representations.
Trans. Mach. Learn. Res.
Vijay Sadashivaiah, Keerthiram Murugesan, Ronny Luss, Pin-Yu Chen, Chris R. Sims, James A. Hendler, Amit Dhurandhar
2024 B conf
Understanding Expertise in Elite Competitive eSports: A Comparison of Approaches to Scalable Dimensionality Reduction.
CogSci
Noah Phillips, Chris R. Sims
2023 J jnl
Learning in Factored Domains with Information-Constrained Visual Representations.
CoRR
Tyler Malloy, Miao Liu, Matthew D. Riemer, Tim Klinger, Gerald Tesauro, Chris R. Sims
2022 B conf
A computationally rational analysis of response strategy in a probability learning task.
CogSci
Zeming Fang, Ru-Yuan Zhang, Chris R. Sims
2021 B conf
A computationally rational model of human reinforcment learning.
CogSci
Zeming Fang, Chris R. Sims
2021 C conf
Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games.
CoG
Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro
2021 B conf
Modeling Capacity-Limited Decision Making Using a Variational Autoencoder.
CogSci
Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims
2021 A* conf
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract).
AAAI
Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims
2020 J jnl
Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games.
CoRR
Tyler Malloy, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, Chris R. Sims
2020 J jnl
Deep RL With Information Constrained Policies: Generalization in Continuous Control.
CoRR
Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro
2020 B conf
New Measures for the Fundamentals of Human Performance.
CogSci
Wayne D. Gray, Ray S. Perez, Roussel Rahman, Chris R. Sims, Elizabeth B. Torres, Travis J. Wiltshire
2017 B conf
Translating a Reinforcement Learning Task into a Computational Psychiatry Assay: Challenges and Strategies.
CogSci
Peter Hitchcock, Yael Niv, Angela Radulescu, Chris R. Sims
2016 — conf
Exploring haptic working memory as a capacity-limited information channel.
HAPTICS
Rachel A. Lerch, Hengjun Cui, Soham Patwardhan, Yon Visell, Chris R. Sims
2016 B conf
Exploring the Cost Function in Color Perception and Memory: An Information-Theoretic Model of Categorical Effects in Color Matching.
CogSci
Chris R. Sims, Zheng Ma, Sarah R. Allred, Rachel A. Lerch, Jonathan I. Flombaum
2016 J jnl
Rational Task Analysis: A Methodology to Benchmark Bounded Rationality.
Minds Mach.
Hansjörg Neth, Chris R. Sims, Wayne D. Gray
2015 B conf
Visual Working Memory as Decision Making: Compensation for Memory Uncertainty in Reach Planning.
CogSci
Rachel A. Lerch, Chris R. Sims
2011 B conf
An Ideal Observer Model of Visual Short-Term Memory Predicts Human Capacity - Precision Tradeoffs.
CogSci
Chris R. Sims, Robert A. Jacobs, David C. Knill
2005 J jnl
Adapting to the task environment: Explorations in expected value.
Cogn. Syst. Res.
Wayne D. Gray, Michael J. Schoelles, Chris R. Sims
2004 — conf
Episodic versus Semantic Memory: An Exploration of Models of Memory Decay in the Serial Attention Paradigm.
ICCM
Chris R. Sims, Wayne D. Gray
2004 — conf
Learning to Choose the Most Effective Strategy: Explorations in Expected Value.
ICCM
Wayne D. Gray, Michael J. Schoelles, Chris R. Sims