Rethinking imitation learning with Predictive Inverse Dynamics Models
At a glance
- Imitation learning becomes easier when an AI agent understands why an action is taken.
- Predictive Inverse Dynamics Models (PIDMs) predict plausible future states, clarifying the direction of behavior during imitation learning.
- Even imperfect predictions reduce ambiguity, making it clearer which action makes sense in the moment.
- This makes PIDMs far more data‑efficient