The single, deficit-based model of autism has recently come under scrutiny, as research revealed subgroups differing in symptoms, developmental trajectory, and genetic drivers of the disorder (Litman ...

TD-MPC is a framework for model predictive control (MPC) using a Task-Oriented Latent Dynamics (TOLD) model and a terminal value function learned jointly by temporal difference (TD) learning. TD-MPC ...

Kant argued that all experience is perceived through the lens of a priori concepts of space and time. That is, Kantian philosophy supposes that knowledge is formatted in terms of space and time. This ...

This important study uses reinforcement learning to study how turbulent odor stimuli should be processed to yield successful navigation. The authors find that there is an optimal memory length over ...

The examples are nothing if not relatable: preparing breakfast, or playing a game of chess or tic-tac-toe. Yet the idea of learning from the environment and taking steps that progress toward a goal ...

In the 1980s, Andrew Barto and Rich Sutton were considered eccentric devotees to an elegant but ultimately doomed idea—having machines learn, as humans and animals do, from experience. Decades on, ...

ABSTRACT: This study examines collaborative social interaction in online synchronous group discussions among Iraqi undergraduate learners. The study has been conducted to address a critical gap in ...

Longitudinal imaging plays a crucial role for health studies, screening, and monitoring, by enabling the tracking of significant changes over time. Current methods require manual preprocessing with ...