active search formalizes a specialized active learning setting where the goal
is to collect members of a rare, valuable class. The state-of-the-art algorithm
approximates the optimal bayesian policy in a budget-a
Causal Amortized Active Structure Learning (CAASL) is a policy that selects adaptive interventions using a transformer-based network trained with reinforcement learning, resulting in a better estimate of the causal graph.