RAD Research

SIGNAL ANALYSIS

Retrieval-Augmented Decision Making enhances offline RL by retrieving high-quality demonstrations, addressing generalization limitations. This matters for robotics and autonomous agents, where online data collection is expensive. RAD dynamically retrieves relevant past demonstrations at inference time, improving decision-making. This can be applied to domains where static datasets are insufficient.