Search Results for author: Kevin Feigelis

Found 2 papers, 1 papers with code

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

359

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Flexible and Efficient Long-Range Planning Through Curious Exploration

no code implementations • ICML 2020 • Aidan Curtis, Minjian Xin, Dilip Arumugam, Kevin Feigelis, Daniel Yamins

In contrast, deep reinforcement learning (DRL) methods use flexible neural-network-based function approximators to discover policies that generalize naturally to unseen circumstances.

Imitation Learning Model-based Reinforcement Learning +3

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