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07/27/2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning
Reinforcement learning (RL) studies how an agent comes to achieve reward...
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12/31/2020
Language-Mediated, Object-Centric Representation Learning
We present Language-mediated, Object-centric Representation Learning (LO...
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09/12/2019
Analyzing machine-learned representations: A natural language case study
As modern deep networks become more complex, and get closer to human-lik...
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05/29/2018
Human-in-the-Loop Interpretability Prior
We often desire our models to be interpretable as well as accurate. Prio...
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02/18/2018
Estimating scale-invariant future in continuous time
Natural learners must compute an estimate of future outcomes that follow...
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02/12/2018
Evaluating Compositionality in Sentence Embeddings
An important frontier in the quest for human-like AI is compositional se...
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06/08/2016
Deep Successor Reinforcement Learning
Learning robust value functions given raw observations and rewards is no...
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04/01/2016
Building Machines That Learn and Think Like People
Recent progress in artificial intelligence (AI) has renewed interest in ...
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10/25/2011
Distance Dependent Infinite Latent Feature Models
Latent feature models are widely used to decompose data into a small num...
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06/14/2011
