Rika Antonova

Rika Antonova is an Associate Professor at the University of Cambridge, where she leads the Cambridge Resilient Autonomous Learning (CamRAL) Lab. Her research focuses on data-efficient reinforcement learning, differentiable simulation, and sim-to-real transfer for robotic manipulation and locomotion. She previously held a postdoctoral position at Stanford University as an NSF/CRA Computing Innovation Fellow and completed her PhD at KTH Royal Institute of Technology in Stockholm.