Connectionists: Postdoctoral fellow position (reinforcement learning)

[Satinder Baveja]

As part of a just 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 your details to baveja at umich.edu (please don't spam the  
whole mailing list). The start date can be as early as September 2009.

best,
Satinder Singh

University of Michigan, Ann Arbor
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