2025
Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
ICLR 2025poster
Recent advancements in robot learning have used imitation learning with large models and extensive demonstrations to develop effective policies. However, these models are often limited by the quantity quality, and diversity of demonstrations. This paper explores improving offline-trained imitation l…