Martha White
About
Martha White is an Associate Professor of Computing Science at the University of Alberta, a Canada CIFAR AI Chair, and a Fellow at Amii, where she leads research on adaptive reinforcement learning agents capable of continual learning in real-world environments. Her work focuses on representation learning—employing sparse and recurrent neural architectures—and off-policy methods that allow agents to learn from streams of data, supporting applications such as control of industrial processes like water treatment systems. She also plays a key role in co-founding RL CORE with Adam White, has delivered invited talks at top venues like ICLR, ICML, and NeurIPS, and has earned notable distinctions including IEEE’s “AI’s 10 to Watch” award. Read more