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Adam White

Appointment

Canada CIFAR AI Chair

Pan-Canadian AI Strategy

Connect

University of Alberta

Google Scholar

About

Adam is a Canada CIFAR AI Chair at Amii, an assistant professor in the University of Alberta’s Department of Computing Science and a Senior Research Scientist at DeepMind in Edmonton, Canada. At the University of Alberta, he is also a Principal Investigator in the Reinforcement Learning & Artificial Intelligence (RLAI) Lab.

White’s research program focuses on replicating or simulating human-level intelligence in physical and simulated reinforcement learning agents interacting with unknown environments. He seeks to understand knowledge representation and intrinsic motivation.

He is the founder of a language-independent communication protocol and evaluation framework for reinforcement learning experiments, RL-Glue. He is the co-author of the Horde architecture, a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction.

Awards

  • Paper of Distinction at the 2012 IEEE International Conference on Developmental Robotics and Epigenetic Robotics.
  • Best Paper Award at the International Workshop on Evolutionary and Reinforcement Learning for Autonomous Robot Systems in 2013.
  • Numerous top reviewer awards for the International Conferences (2015, 2017, 2018, 2019).

Relevant Publications

  • Linke, C., Ady, N. M., White, M., Degris, T., & White, A. (2020). Adapting behaviour via intrinsic reward: A survey and empirical study. Journal of Artificial Intelligence Research.

  • Schlegel, M., Jacobsen, A., Zaheer, M., Patterson, A., White, A., & White, M. (2020). General value function networks. Journal of Artificial Intelligence Research.

  • Ghiassian S., Patterson A., Garg S., Gupta D., White A., White M.(2020). Gradient Temporal-Difference Learning with Regularized Corrections. International Conference on Machine Learning (ICML).

  • White, A., Modayil, J., & Sutton, R. S. (2012). Scaling life-long off-policy learning. In the IEEE International Conference on Development and Learning and Epigenetic Robotics, 1–6.

  • Modayil, J., White, A., Pilarski, P. M., Sutton, R. S. (2012). Acquiring Diverse Predictive Knowledge in Real Time by Temporal-difference Learning. International Workshop on Evolutionary and Reinforcement Learning for Autonomous Robot Systems, Montpellier, France.

Institution

Amii

DeepMind

University of Alberta

Department

Computer Science

Education

  • PhD (Computer Science), University of Alberta

Country

Canada

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