Learning to Play With Intrinsically-Motivated, Self-Aware Agents

no code implementations • NeurIPS 2018 • Nick Haber, Damian Mrowca, Stephanie Wang, Li F. Fei-Fei, Daniel L. Yamins

We demonstrate that this policy causes the agent to explore novel and informative interactions with its environment, leading to the generation of a spectrum of complex behaviors, including ego-motion prediction, object attention, and object gathering.

motion prediction Object

Label Efficient Learning of Transferable Representations acrosss Domains and Tasks

no code implementations • NeurIPS 2017 • Zelun Luo, Yuliang Zou, Judy Hoffman, Li F. Fei-Fei

We propose a framework that learns a representation transferable across different domains and tasks in a data efficient manner.

Action Recognition Metric Learning +3