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ORCIDChris R. Sims
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- affiliation: Rensselaer Polytechnic Institute, Troy, NY, USA
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Books and Theses
- 2009
[b1]Christopher Robert Sims:
Internal models of embodied dynamics: a computational theory of learning in routine interactive behavior. Rensselaer Polytechnic Institute, USA, 2009
Journal Articles
- 2024
- [j3]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) - 2016
- [j2]Hansjörg Neth
, Chris R. Sims, Wayne D. Gray:
Rational Task Analysis: A Methodology to Benchmark Bounded Rationality. Minds Mach. 26(1-2): 125-148 (2016) - 2005
- [j1]Wayne D. Gray, Michael J. Schoelles, Chris R. Sims:
Adapting to the task environment: Explorations in expected value. Cogn. Syst. Res. 6(1): 27-40 (2005)
Conference and Workshop Papers
- 2022
- [c13]Zeming Fang, Ru-Yuan Zhang, Chris R. Sims:
A computationally rational analysis of response strategy in a probability learning task. CogSci 2022 - 2021
- [c12]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: 15841-15842 - [c11]Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro:
Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games. CoG 2021: 1-8 - [c10]Zeming Fang, Chris R. Sims:
A computationally rational model of human reinforcment learning. CogSci 2021 - [c9]Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims:
Modeling Capacity-Limited Decision Making Using a Variational Autoencoder. CogSci 2021 - 2020
- [c8]Wayne D. Gray, Ray S. Perez, Roussel Rahman, Chris R. Sims, Elizabeth B. Torres, Travis J. Wiltshire:
New Measures for the Fundamentals of Human Performance. CogSci 2020 - 2017
- [c7]Peter Hitchcock, Yael Niv, Angela Radulescu, Chris R. Sims:
Translating a Reinforcement Learning Task into a Computational Psychiatry Assay: Challenges and Strategies. CogSci 2017 - 2016
- [c6]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 - [c5]Rachel A. Lerch, Hengjun Cui, Soham Patwardhan, Yon Visell, Chris R. Sims:
Exploring haptic working memory as a capacity-limited information channel. HAPTICS 2016: 113-118 - 2015
- [c4]Rachel A. Lerch, Chris R. Sims:
Visual Working Memory as Decision Making: Compensation for Memory Uncertainty in Reach Planning. CogSci 2015 - 2011
- [c3]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 - 2004
- [c2]Wayne D. Gray, Michael J. Schoelles, Chris R. Sims:
Learning to Choose the Most Effective Strategy: Explorations in Expected Value. ICCM 2004: 112-117 - [c1]Chris R. Sims, Wayne D. Gray:
Episodic versus Semantic Memory: An Exploration of Models of Memory Decay in the Serial Attention Paradigm. ICCM 2004: 279-284
Informal and Other Publications
- 2023
- [i3]Tyler Malloy, Miao Liu, Matthew D. Riemer, Tim Klinger, Gerald Tesauro, Chris R. Sims:
Learning in Factored Domains with Information-Constrained Visual Representations. CoRR abs/2303.17508 (2023) - 2020
- [i2]Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro:
Deep RL With Information Constrained Policies: Generalization in Continuous Control. CoRR abs/2010.04646 (2020) - [i1]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 abs/2011.11517 (2020)
Coauthor Index
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