CoRL

CoRL

CoRL (Conference on Robot Learning) is a premier venue dedicated to the intersection of machine learning and robotics, focusing on how robots can learn from data, simulation, and interaction with the physical world. It targets researchers developing learning-based approaches to manipulation, locomotion, planning, and perception in robotic systems. CoRL is known for high-quality work on reinforcement learning, imitation learning, and sim-to-real transfer.