|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Bayesian Reinforcement Learning
If you have a question about this talk, please contact Sinead Williamson.
Milica Gasic and Yunus Saatci will present on Bayesian Reinforcement learning.
Reading: A skim of Chapters 3 and 4 of Sutton and Barto and a skim of the following papers: A Bayesian Framework for Reinforcement Learning, An Analytic Solution to Discrete Bayesian Reinforcement Learning (Poupart et al., 2006), Reinforcement Learning with Gaussian Processes, Bayesian Policy Gradient
This talk is part of the Machine Learning Reading Group @ CUED series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsMartin Centre Research Seminar Series - 42nd Annual Series of Lunchtime Lectures Social Anthropology Post-Doc Seminar Engineering - Division C talks
Other talksNERC/MO Earth System Modelling Drug discovery Inferno XV, Purgatorio XV, Paradiso XV Malaria Immunology and Vaccination 'Constructing identities in multilingual classrooms: the experiences of immigrant-background children in primary schools in France and England' To be confirmed