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 fr…
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- 2026-09-30 00:00 · Apple Machine Learning Research
SCLATE: A Substrate for Continual-Learning Agent Training and Evaluation