Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process

arXiv:2403.17233v1 Announce Type: cross
Abstract: We present an active learning algorithm for learning dynamics that leverages side information by explicitly incorporating prior domain knowledge into the sampling process. Our proposed algorithm guides the exploration toward regions that demonstrate high empirical discrepancy between the observed data and an imperfect prior model of the dynamics derived from side information. Through numerical experiments, we demonstrate that this strategy explores regions of high discrepancy and accelerates learning while simultaneously reducing model uncertainty. We rigorously …

abstract active learning algorithm arxiv cs.lg cs.sy data domain domain knowledge dynamics eess.sy exploration guides information knowledge prior process sampling type