Improving Generative Flow Networks with Path Regularization

no code implementations • 29 Sep 2022 • Anh Do, Duy Dinh, Tan Nguyen, Khuong Nguyen, Stanley Osher, Nhat Ho

Generative Flow Networks (GFlowNets) are recently proposed models for learning stochastic policies that generate compositional objects by sequences of actions with the probability proportional to a given reward function.

Active Learning

Emergence of Different Modes of Tool Use in a Reaching and Dragging Task

no code implementations • 8 Dec 2020 • Khuong Nguyen, Yoonsuck Choe

Examples include hitting the object to the target location, correcting error of initial contact, throwing the tool toward the object, as well as normal expected behavior such as wide sweep.

Friction Object +2