Reconstruction-Free Vision-Based Control via Differentiable Long-Horizon Influence
Vision-based reinforcement learning has emerged as a promising approach for autonomous robotic control. It enables closed-loop policy learning directly from high-dimensional visual observations. However, existing methods often learn visual representations through prediction or reconstruction objectives, which may prese...