Antoine Cully

Antoine Cully is a Professor in Machine Learning and Robotics at Imperial College London, Department of Computer Science. His research focuses on Robotics, Artificial Intelligence, and Robot Learning. He is affiliated with the university and can be contacted via email at a.cully@imperial.ac.uk. His professional profile is available at https://profiles.imperial.ac.uk/a.cully.

Antoine Cully is a Professor of Machine Learning and Robotics at Imperial College London, specializing in Robot Learning, Machine Learning, Quality-Diversity, Reinforcement Learning, and Neuroevolution. His research focuses on developing adaptive robotic systems capable of learning and evolving behaviors akin to animals. Cully's work explores the intersection of evolutionary computation, reinforcement learning, and diversity optimization to enable robots to discover and refine complex skills. His publications highlight innovative approaches to quality-diversity optimization, policy gradients, and autonomous skill discovery, emphasizing the importance of diversity and adaptability in robotic systems. His research has applications in robotics, artificial intelligence, and interdisciplinary AI challenges.