Jessica Hamrick
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    • On the role of planning in model-based deep RL
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    • Intuitive physics as probabilistic inference
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    • On the role of planning in model-based deep reinforcement learning
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    • Discovering simple heuristics from mental simulation
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    • A Rejection Sampler
    • Generating plans that predict themselves
    • Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration
    • Imagination-Based Decision Making with Physical Models in Deep Neural Networks
    • Inferring Mass in Complex Scenes by Mental Simulation
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    • Relevant and Robust: A Response to Marcus and Davis (2013)
    • Think again? The amount of mental simulation tracks uncertainty in the outcome
    • Algorithm selection by rational metareasoning as a model of human strategy selection
    • What to simulate? Inferring the right direction for mental rotation
    • Approximating Bayesian inference with a sparse distributed memory system
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    • Physical Reasoning in Complex Scenes is Sensitive to Mass
    • Internal physics models guide probabilistic judgments about object dynamics
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Think again? The amount of mental simulation tracks uncertainty in the outcome

Jan 1, 2015·
J. B. Hamrick
,
K. A. Smith
,
T. L. Griffiths
,
E. Vul
· 0 min read
Cite Slides
Type
1
Publication
Proceedings of the 37th Annual Conference of the Cognitive Science Society
Last updated on Jan 1, 2015
← Relevant and Robust: A Response to Marcus and Davis (2013) Jan 1, 2015
Algorithm selection by rational metareasoning as a model of human strategy selection Jan 1, 2014 →

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