University of Cambridge > Talks.cam > Machine Learning Reading Group @ CUED > Bayesian Reinforcement Learning

  Browse A-Z

Log in

Googledetails Microsoftdetails

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

Bayesian Reinforcement Learning

Download to your calendar using vCal

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 lists

History faculty, Room 5. National Biology Week talks Engineering - Mechanics Colloquia Research Seminars

Other talks

The spread of environmental cost-benefit analysis in UK government, c.1966-1995: representing the public in the Anthropocene Machine Politics? Computers and AI in the History of Political Thought Morning Tea and Coffee Zooming in on the assembly of galaxies in the early Universe Group Presentation 2 Title to be confirmed
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity