Open Internet by MindsNet

Identifying Changes in Robotics Datasets at the Episode Level

In robotics and imitation learning, tracking changes in datasets at the episode level is crucial. Existing tools like DVC and MLflow do not provide episode-level insights, making it difficult to identify why model performance regresses. This leads to challenges in maintaining data quality and ensuring model reliability.

Computing & Technology, Computer Science, Machine Learning