SCLATE: A Substrate for Continual-Learning Agent Training and Evaluation

A Substrate for Continual-Learning Agent: what actually changed

Apple Machine Learning Research reports: SCLATE: A Substrate for Continual-Learning Agent Training and Evaluation. Continual-learning agents are systems of models, harnesses, and memory operating over long multi-session horizons. Evaluating and training them requires interleaving tasks with agent-side events such as session stop and start, crons, and memory consolidation. Yet existing benchmarks and training frameworks schedule…

A Substrate for Continual-Learning Agent: why it matters now

For primary quotes and complete technical detail, see Apple Machine Learning Research's original report linked above.