Igl, Maximilian

VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning

Zintgraf, L., Shiarlis, K., Igl, M., Schulze, S., Gal, Y., Hofmann, K., & Whiteson, S. (2019) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 112

Tighter Variational Bounds are Not Necessarily Better

Rainforth, T., Kosiorek, A. R., Le, T. A., Maddison, C. J., Igl, M., Wood, F., & Teh, Y. W. (2018) · arXiv

Gaussian Processes and Bayesian InferenceTopic Modeling

Cited by 66

Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning

Igl, M., Farquhar, G., Luketina, J., Boehmer, W., & Whiteson, S. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 17