Search Results for author: Megumi Sano

Found 5 papers, 2 papers with code

Visual resemblance and communicative context constrain the emergence of graphical conventions

1 code implementation17 Sep 2021 Robert D. Hawkins, Megumi Sano, Noah D. Goodman, Judith E. Fan

From photorealistic sketches to schematic diagrams, drawing provides a versatile medium for communicating about the visual world.

Active World Model Learning with Progress Curiosity

no code implementations15 Jul 2020 Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins

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 horizons, and an understanding of the behavioral patterns of other agents.

Active World Model Learning in Agent-rich Environments with Progress Curiosity

no code implementations ICML 2020 Kuno Kim, Megumi Sano, Julian De Freitas, Nick Haber, Daniel Yamins

World models are a family of predictive models that solve self-supervised problems on how the world evolves.

Developmental Curiosity and Social Interaction in Virtual Agents

no code implementations22 May 2023 Chris Doyle, Sarah Shader, Michelle Lau, Megumi Sano, Daniel L. K. Yamins, Nick Haber

We also find that learning a world model in the presence of an attentive caregiver helps the infant agent learn how to predict scenarios with challenging social and physical dynamics.

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