Leveraging planning during learning and decision-making is central to the long-term development of intelligent agents.

Non-exemplar class-incremental learning (NECIL) is a challenging task that requires recognizing both old and new classes without retaining any old class samples. Current works mainly deal with the conflicts between old and new classes retrospectively as a new task comes in.

Generalization remains a central challenge in machine learning.

Compton Unified and LAUSD schools are among the high flyers for progress in latest state test scores, but pandemic setbacks linger statewide. Gov. Gavin Newsom signs literacy bill to implement science of reading.

Learners sharing similar implicit cognitive states often display comparable observable problem-solving performances.