Recent alumnus, Yiping Wang, has been selected for the W.E. Cowie Innovation award for work on Unsupervised Environment Design to facilitate efficient and scalable Multi-Agent Reinforcement Learning by making summative assessments in a unique Teacher-Student paradigm. See post about this work presented at the ICML Workshop on Unsupervised Reinforcement Learning..