Connectionists: Post-doc position in reinforcement learning & cognitive architecture

[Thad Polk]

As part of a recently funded NSF project, we are
looking for a postdoctoral fellow to do research on
extending reinforcement learning ideas into an
architecture for building long-lived agents. A
number of research issues including learning good
representations and models, using internal rewards,
control of internal as well as external actions,
abstraction of actions into skills, and the use of
episodic and semantic memories within reinforcement
learning are in the scope of the project. A mix of
empirical and theoretical work is called for in the
project which funds Satinder Singh, John Laird,
Richard Lewis and Thad Polk, all at the University
of Michigan.

The ideal candidate would have done a thesis on a
reinforcement learning topic. If you are interested
in applying for such a position, please send a CV
to baveja at umich.edu (please don't spam the
whole mailing list). The position is available
immediately.

Regards,

Thad Polk



----------------------------------------------------
Thad A. Polk, Ph.D.           Email: tpolk at umich.edu
Associate Professor &         Phone: (734) 647-6982
Arthur F. Thurnau Professor   Fax: (734) 763-7480
Depts of Psychology & EECS
University of Michigan
Ann Arbor, MI 48109-1109

http://sitemaker.umich.edu/tpolk_lab
----------------------------------------------------