Alumnus Awarded W.E. Cowie Innovation Award for work with GAIDG Lab

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..