Carlos G. Correa — accepted AI-conference papers

2024

Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract)

Ruiqi He, Carlos G. Correa, Tom L. Griffiths, Mark K. Ho

AAAI 2024technical

How are people able to plan so efficiently despite limited cognitive resources? We aimed to answer this question by extending an existing model of human task decomposition that can explain a wide range of simple planning problems by adding structure information to the task to facilitate planning in…

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2022

Using natural language and program abstractions to instill human inductive biases in machines

Sreejan Kumar, Carlos G Correa, Ishita Dasgupta, Raja Marjieh, Michael Hu, Robert D. Hawkins +4

NeurIPS 2022accept

Strong inductive biases give humans the ability to quickly learn to perform a variety of tasks. Although meta-learning is a method to endow neural networks with useful inductive biases, agents trained by meta-learning may sometimes acquire very different strategies from humans. We show that co-train…

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