The authors developed SCLATE, which lets benchmarks and agents independently register events with a shared scheduler through adapters.
Shared scheduler enables realistic training and testing of continual-learning agents
SCLATE coordinates benchmark tasks and agent-side events on a simulated timeline while preserving existing harnesses and memory systems.
Big Tech
Youngmok Jung · Sirajul Salekin · Henry Tran · Javier Movellan · Zhao Huang · Manjot Bilkhu
Apple
Research Digest··2 min read
Jung et al.
Why this paper
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SCLATE runs unmodified continual-learning agents on shared simulated timelines, showing that external memory is not reliably better and enabling effective post-training.
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- ✓Reports numbers on named benchmarks (2 benchmarks)
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