Shinda Huang

Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks

Training generalist agents is difficult across several axes, requiring us to deal with high-dimensional inputs (space), long horizons (time), and generalization to novel tasks. Recent advances with architectures have allowed for improved scaling along one or two of these axes, but are still computat…