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

Key points

• AuthorsYoungmok Jung, Sirajul Salekin, Henry Tran, Javier Movellan, Zhao Huang, Manjot Bilkhu1
• Continual-learning agents are systems of models, harnesses, and memory operating over long multi-session horizons.1
• We present SCLATE, an execution substrate where benchmarks and unmodified agents each add their events to one open event scheduler through an adapter.1
• How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?1

Sources (1)

• [1]SCLATE: A Substrate for Continual-Learning Agent Training and Evaluation
  Apple Machine Learning Research · Sep 30, 12:00 AM

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

  AuthorsYoungmok Jung, Sirajul Salekin, Henry Tran, Javier Movellan, Zhao Huang, Manjot Bilkhu

Extractive summary: sentences quoted from the sources.