Chris R. Sims

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 15

Top Topics

Reinforcement Learning

Top Venues

Publications

Vijay Sadashivaiah, Keerthiram Murugesan, Ronny Luss, Pin-Yu Chen, Chris R. Sims, James A. Hendler, Amit Dhurandhar
To Transfer or Not to Transfer: Suppressing Concepts from Source Representations. Trans. Mach. Learn. Res. 2024 (2024)
Tyler Malloy, Miao Liu, Matthew D. Riemer, Tim Klinger, Gerald Tesauro, Chris R. Sims
Learning in Factored Domains with Information-Constrained Visual Representations. CoRR (2023)
Zeming Fang, Ru-Yuan Zhang, Chris R. Sims
A computationally rational analysis of response strategy in a probability learning task. CogSci (2022)
Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro
Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games. CoG (2021)
Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract). AAAI (2021)
Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims
Modeling Capacity-Limited Decision Making Using a Variational Autoencoder. CogSci (2021)
Zeming Fang, Chris R. Sims
A computationally rational model of human reinforcment learning. CogSci (2021)
Tyler Malloy, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, Chris R. Sims
Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games. CoRR (2020)
Wayne D. Gray, Ray S. Perez, Roussel Rahman, Chris R. Sims, Elizabeth Torres, Travis J. Wiltshire
New Measures for the Fundamentals of Human Performance. CogSci (2020)
Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro
Deep RL With Information Constrained Policies: Generalization in Continuous Control. CoRR (2020)
Peter Hitchcock, Yael Niv, Angela Radulescu, Chris R. Sims
Translating a Reinforcement Learning Task into a Computational Psychiatry Assay: Challenges and Strategies. CogSci (2017)
Hansjörg Neth, Chris R. Sims, Wayne D. Gray
Rational Task Analysis: A Methodology to Benchmark Bounded Rationality. Minds Mach. 26 (1-2) (2016)
Rachel A. Lerch, Hengjun Cui, Soham Patwardhan, Yon Visell, Chris R. Sims
Exploring haptic working memory as a capacity-limited information channel. HAPTICS (2016)
Chris R. Sims, Zheng Ma, Sarah R. Allred, Rachel A. Lerch, Jonathan I. Flombaum
Exploring the Cost Function in Color Perception and Memory: An Information-Theoretic Model of Categorical Effects in Color Matching. CogSci (2016)
Rachel A. Lerch, Chris R. Sims
Visual Working Memory as Decision Making: Compensation for Memory Uncertainty in Reach Planning. CogSci (2015)
Chris R. Sims, Robert A. Jacobs, David C. Knill
An Ideal Observer Model of Visual Short-Term Memory Predicts Human Capacity - Precision Tradeoffs. CogSci (2011)
Wayne D. Gray, Michael J. Schoelles, Chris R. Sims
Adapting to the task environment: Explorations in expected value. Cogn. Syst. Res. 6 (1) (2005)
Chris R. Sims, Wayne D. Gray
Episodic versus Semantic Memory: An Exploration of Models of Memory Decay in the Serial Attention Paradigm. ICCM (2004)
Wayne D. Gray, Michael J. Schoelles, Chris R. Sims
Learning to Choose the Most Effective Strategy: Explorations in Expected Value. ICCM (2004)