Active Generative Simulation: Meta-Learning What to Simulate for Sim-and-Real Policy Co-Training

Sim-and-real co-training is an effective way to scale robot learning by augmenting limited real-world demonstrations with simulation data. However, existing approaches typically treat simulators as fixed data sources, relying on uniform generation, offline retrieval, or manual parameter alignment by domain experts.

From the abstract. Our summary is in progress.