Stanisław Wiktor Strzelecki

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

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…