Reinforcement learning, risk-sensitive decision making, time series forecasting
Biography
Eun (Grace) Go is a Ph.D. student in computer science at the University of Illinois Urbana-Champaign, advised by Professor Arindam Banerjee. Her research develops reinforcement learning methods for sequential decision making under uncertainty, with a focus on financial portfolio management. Her recent work studies inference-time policy adaptation, how an agent can keep improving against a shifting market while preserving the risk discipline that makes it deployable in practice.