51 citations · 63 across the 4 of their papers we have counts for
3 papers · 1 filter
Practical Kernel-Based Reinforcement Learning
André M. S. Barreto, Doina Precup, Joelle Pineau
Kernel-based reinforcement learning (KBRL) stands out among reinforcement learning algorithms for its strong theoretical guarantees. By casting the learning problem as a local kern…
PAC-Bayesian Policy Evaluation for Reinforcement Learning
Mahdi MIlani Fard, Joelle Pineau, Csaba Szepesvari
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, large…
Active Learning for Developing Personalized Treatment
Kun Deng, Joelle Pineau, Susan A. Murphy
The personalization of treatment via bio-markers and other risk categories has drawn increasing interest among clinical scientists. Personalized treatment strategies can be learned…