Dexterous Robotic Piano Playing at Scale, with Le Chen et al., TPAMI, In Submission, 2025
Generative World Modelling for Humanoids Robots, with Riccardo Mereu et al., 1X World Model Challenge @ ICCV, 1st Place, 2025
Efficient Reinforcement Learning by Guiding Generalist World Models with Non-Curated Data, Preprint, 2025
Symbolically-Guided Visual Plan Inference from Uncurated Video Data, Preprint, 2025
Discrete Codebook World Models for Continuous Control, with Aidan Scannell et al., ICLR, 2025
Background
Research focuses on reinforcement learning, imitation learning, and planning, with an emphasis on learning versatile robot skills in a sample-efficient manner. Developed algorithms that have been applied to various domains, including locomotion, robotic manipulation, and dexterous robotic hands.