Deepak Thapa is a Research Assistant at the BBMMLL Lab. His research focuses on generating open-ended virtual worlds using world models and training highly capable general agents within them. His interests include world models and unsupervised environment design (UED), with the goal of advancing general purpose artificial intelligence through open-ended learning environments.