Julian De Freitas - Publications - Faculty & Research

The alarm has been raised on so-called driverless dilemmas, in which autonomous vehicles will need to make high-stakes ethical decisions on the road. We argue that these arguments are too contrived to be of practical use, are an inappropriate method for making... View Details

Keywords: Moral Judgment; Autonomous Vehicles; Driverless Policy; Transportation; Ethics; Judgments; Policy

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Active World Model Learning with Progress Curiosity

By: Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber and Daniel Yamins

World models are self-supervised predictive models of how the world evolves. Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal... View Details

Keywords: World Models; Mathematical Methods

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Jul 2020
Keynote Speech

Keynote Speech

By: Julian De Freitas

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2020
Conference Presentation

Learning in Social Environments with Curious Neural Agents

By: M. Sano, J. De Freitas, N. Haber and D. L. K. Yamins

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26 Apr 2020
Other Presentation

Towards Modeling the Variability of Human Attention

By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber

Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details

Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning

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