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. This form of learning, often grounded in behavioral cloning, enables robots to function effectively in structured environments. However, transferring these…
