Learning sparse neural networks through L₀ regularization
Interpretable and pedagogical examples
Learning a hierarchy
Generalizing from simulation
Asymmetric actor critic for image-based robot learning
Sim-to-real transfer of robotic control with dynamics randomization
Domain randomization and generative models for robotic grasping
Competitive self-play
Meta-learning for wrestling
Nonlinear computation in deep linear networks