Preston Fu

All things graphics: rasterization, filtering and sampling, geometry, materials, light transport and image synthesis, cameras, physical simulation, virtual reality, etc. (I was also a teaching assistant for this course!)

Graduate course on reinforcement learning, control, and deep learning. Imitation learning; model-free, model-based, and offline algorithms; multitask learning; next steps.

The fundamental group, covering maps and topology, lifting properties of paths and homotopies, and the universal cover.

An introduction to Lie theory through matrix Lie groups: exponentiation, tangent spaces, algebras, homomorphisms, and Baker–Campbell–Hausdorff formula.