Causal Inference, Machine Learning, Domain Adaptation, Reinforcement Learning.
learning where the task remains the same, but the exact application (or domain) is changed. Traditionally, a model is given training data so that it can learn to predict certain outputs given certain inputs. For example, we could build a machine learning algorithm to predict whether a patient has a