RSC uses a metalearning algorithm to update the parameters of the cost function, continuously improving the controller online as more and more driving data is gathered from the user for subjective ...

Accessed 47. Linder, Cedric J, Carrie Leonard-McIntyre, Delia Marshall, and M. Rudolph Nchodu. 1997. “Physics tutors’ metalearning development through an extension of.” International Journal of ...

The success of creative or innovative teaching approaches is often measured by student perceptual ratings of the learning environment or by academic outcomes. This paper examines student perceptions ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), ...