Conditional Imitation Learning

An extension of behavioral cloning where the policy is conditioned on high-level commands or goals in addition to observations. For example, a navigation policy might take a goal image or a language instruction as input alongside the current camera frame. This enables a single policy to execute multiple behaviors depending on the conditioning signal.