← Search

Xiu Yuan

2 accepted papers

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…

2025

When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning?

AAAI 2025technical

Learning policies from high-dimensional visual inputs, such as pixels and point clouds, is crucial in various applications. Visual reinforcement learning is a promising approach that directly trains policies from visual observations, although it faces challenges in sample efficiency and computationa…