Even Breath of the Wild and Tears of the Kingdom can’t match the Zelda series’ original non-linearity, which may never make a ...
This letter presents a novel two-step Positive-Unlabeled Constraint Learning (PUCL) algorithm to infer a continuous constraint function from demonstrations ... It successfully infers the continuous ...
However, AI models are often used to find intricate patterns in data where the output is not always proportional to the input ...
An open source FaaS (Function as a Service) framework based on Express for writing portable Node.js functions. The Functions Framework lets you write lightweight functions that run in many different ...
for a class of nonlinear systems subject to disturbances. Signal temporal logic (STL) specifications are introduced for the representation of complex tasks. A control barrier function (CBF), composed ...
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...
For example, y = 2x + 5 is a linear model ... play a crucial role in its capacity to approximate nonlinear functions. A linear neural network is a neural network that only uses linear ...