Learning to Choose the Most Effective Strategy: Explorations in Expected Value. - Wayne D. Gray; Michael J. Schoelles; Chris R. Sims (ICCM, 2004)

Episodic versus Semantic Memory: An Exploration of Models of Memory Decay in the Serial Attention Paradigm. - Chris R. Sims; Wayne D. Gray (ICCM, 2004)

Adapting to the task environment: Explorations in expected value. - Wayne D. Gray; Michael J. Schoelles; Chris R. Sims (Cogn. Syst. Res., 2005)

Internal models of embodied dynamics: a computational theory of learning in routine interactive behavior. - Christopher Robert Sims (2009)

An Ideal Observer Model of Visual Short-Term Memory Predicts Human Capacity - Precision Tradeoffs. - Chris R. Sims; Robert A. Jacobs; David C. Knill (CogSci, 2011)

Visual Working Memory as Decision Making: Compensation for Memory Uncertainty in Reach Planning. - Rachel A. Lerch; Chris R. Sims (CogSci, 2015)

Exploring the Cost Function in Color Perception and Memory: An Information-Theoretic Model of Categorical Effects in Color Matching. - Chris R. Sims; Zheng Ma; Sarah R. Allred; Rachel A. Lerch; Jonathan I. Flombaum (CogSci, 2016)

Exploring haptic working memory as a capacity-limited information channel. - Rachel A. Lerch; Hengjun Cui; Soham Patwardhan; Yon Visell; Chris R. Sims (HAPTICS, 2016)

Rational Task Analysis: A Methodology to Benchmark Bounded Rationality. - Hansjörg Neth; Chris R. Sims; Wayne D. Gray (Minds Mach., 2016)

Translating a Reinforcement Learning Task into a Computational Psychiatry Assay: Challenges and Strategies. - Peter Hitchcock; Yael Niv; Angela Radulescu; Chris R. Sims (CogSci, 2017)

New Measures for the Fundamentals of Human Performance. - Wayne D. Gray; Ray S. Perez; Roussel Rahman; Chris R. Sims; Elizabeth B. Torres; Travis J. Wiltshire (CogSci, 2020)

Deep RL With Information Constrained Policies: Generalization in Continuous Control. - Tyler Malloy; Chris R. Sims; Tim Klinger; Miao Liu 001; Matthew Riemer; Gerald Tesauro (CoRR, 2020)

Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games. - Tyler Malloy; Tim Klinger; Miao Liu 001; Matthew Riemer; Gerald Tesauro; Chris R. Sims (CoRR, 2020)

RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract). - Tyler Malloy; Tim Klinger; Miao Liu 001; Gerald Tesauro; Matthew Riemer; Chris R. Sims (AAAI, 2021)

Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games. - Tyler Malloy; Chris R. Sims; Tim Klinger; Miao Liu 001; Matthew Riemer; Gerald Tesauro (CoG, 2021)

A computationally rational model of human reinforcment learning. - Zeming Fang; Chris R. Sims (CogSci, 2021)

Modeling Capacity-Limited Decision Making Using a Variational Autoencoder. - Tyler Malloy; Tim Klinger; Miao Liu 001; Gerald Tesauro; Matthew Riemer; Chris R. Sims (CogSci, 2021)

A computationally rational analysis of response strategy in a probability learning task. - Zeming Fang; Ru-Yuan Zhang; Chris R. Sims (CogSci, 2022)

Learning in Factored Domains with Information-Constrained Visual Representations. - Tyler Malloy; Miao Liu 001; Matthew D. Riemer; Tim Klinger; Gerald Tesauro; Chris R. Sims (CoRR, 2023)

To Transfer or Not to Transfer: Suppressing Concepts from Source Representations. - Vijay Sadashivaiah; Keerthiram Murugesan; Ronny Luss; Pin-Yu Chen; Chris R. Sims; James A. Hendler; Amit Dhurandhar (Trans. Mach. Learn. Res., 2024)