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.

AI Companions Reduce Loneliness

1 code implementation • 9 Jul 2024 • Julian De Freitas, Ahmet K Uguralp, Zeliha O Uguralp, Puntoni Stefano

Study 6 provides an additional robustness check for the loneliness alleviating benefits of AI companions.

Active World Model Learning with Progress Curiosity

no code implementations • 15 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.

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

1 code implementation • 9 Jul 2020 • Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott, Daniel L. K. Yamins

We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation.

Scene Understanding