苹果发布SCLATE持续学习智能体训练评估平台
SCLATE: A Substrate for Continual-Learning Agent Training and Evaluation
苹果开源了SCLATE，解决了持续学习智能体训练评估中事件调度的难题，让不同基准测试和智能体能无缝协作。
苹果公司推出SCLATE，这是一个用于持续学习智能体训练与评估的执行平台。该平台通过适配器让基准测试和未修改的智能体将各自事件添加到开放事件调度器中。SCLATE采用混合模拟时钟技术，解决了现有基准测试和训练框架仅调度基准自身事件的问题。
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 only the benchmark’s own events, leaving each benchmark and agent pair to build a custom scheduling loop. We present SCLATE, an execution substrate where benchmarks and unmodified agents each add their events to one open event scheduler through an adapter. A hybrid simulated clock…
