Ge Yang

I am doing my Ph.D. in Physics at the University of Chicago.

For the past year, I interned at Berkeley Artificial Intelligence Research with Pieter Abbeel, and the robotics lab at Facebook AI Research with Roberto Calandra.

Currently I am interning at DeepMind with Vlad Mnih


My current research focus lie at the intersection between unsupervised representation learning, reinforcement learning, meta-learning and robotics. Specifically I am working on unsupervised representation learning via RL, and unsupervised RL.

In my past life I did atomic physics and quantum computing. You can see more of these work here.

Learning Plannable Representations with Causal InfoGANT Kurutach, A Tamar, G Yang, SJ Russell, P AbbeelWe propose an approach to learn plannable representations from high-dimensional sequential observations, where the generative process is induced by a transition in a low-dimensional planning model with additional noise