
DSRL: A Latent-Space Reinforcement Learning Approach to Adapt Diffusion Policies in Real-World Robotics
Introduction to Learning-Based Robotics Robotic control systems have made significant progress through methods that replace hand-coded instructions with data-driven learning. Instead of relying on explicit programming, modern robots learn by observing actions and mimicking them. […]