CFP: Theoretical Approaches to Adaptive Intelligent Control

Szepesvari Csaba szepes at sol.cc.u-szeged.hu
Wed Nov 13 05:53:15 EST 1996


                   CALL FOR PAPERS

Those interested in the topic and wishing to contribute a
half-hour  talk  (some slots are open) may  e-mail  me  a
title and brief abstract.
Csaba Szepesvari

    Theoretical Approaches to Adaptive Intelligent Control
                session at the conference
       COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
March 2--5, 1997, Research Triangle Park, North Carolina
  Organizer: Csaba Szepesvari, szepes at math.u-szeged.hu

The  aim of this section is to bring together researchers
of    Reinforcement   Learning   (RL),   Adaptive-    and
NeuroControl   (AC,NC)  in  order   to   facilitate   the
discussion  between the people working in  these  fields,
overview  the research done in these fields and  develope
connections between them. Although the framework and  the
ultimate   goal  of  these  fields  are  different,   the
theoretical  problems arising share many common  features
(stability(AC)    =    convergence   (RL),    performance
optimization(AC) = exploration exploitation dilemma (RL),
observability  and controllability(AC)  =  hidden  state,
perceptual    aliasing(RL),   etc   .).   Ideally,    the
contributions should discuss the current problems arising
in these fields from a theoretical point of view. In case
of  sufficient interest a panel discussion at the end  of
the session will be included.

Summaries on Adaptive Intelligent Control are   solicited 
for this session. Summaries should be sent to me and will 
be published in the proceedings.   After the   conference 
speakers may extend their summaries to full papers  which 
will go through the usual refereeing  process.   Accepted 
papers will be published as  journal  articles.  For more 
information on the conference see the Web site 
           http://www.csci.csusb.edu/iccin. 

SUBMISSION DEADLINE: December 6, 1996

Csaba Szepesvari
Session Organizer on Theoretical Approaches to Adaptive Control
Computational Intelligence and Neuroscience
szepes at math.u-szeged.hu



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