AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Humanoid Safe Stop via Learned Stoppability Value
Safe-Stop is proposed, a task-agnostic framework that pairs a learned stop policy with learned stoppability estimators, and yields decisions that are robust without sacrificing reactivity.
Scalable Behavior Cloning with Open Data, Training, and Evaluation
This work introduces ABC, a fully open-source stack for manipulation with behavior cloning, and offers a co-training recipe that produces correlated simulation and real-world evaluation, offering a reliable proxy for ablating model-design and training decisions before costly real-world evaluation.