Background Physical activity has been associated with neuroprotective and immunomodulatory benefits, potentially influencing ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Abstract: Inverse optimal control (IOC) seeks to infer a control cost function that captures the underlying goals and preferences of expert demonstrations. While significant progress has been made in ...
Abstract: This article proposes a novel discounted inverse reinforcement learning (DIRL) algorithm for linear quadratic (LQ) control of unknown continuous-time (CT) systems with partially observable ...
Generate large random networks using Erdős–Rényi (ER) model and Preferential Attachment (PA) model. Analyze community structure of large networks, including Giant Connected Component (GCC) size and ...
This Python project simulates a 2D robotic arm controlled by inverse kinematics to reach a target point on the screen. The arm consists of multiple segments, and its joints are adjusted to move the ...