NIPS Workshop Announcement (and CFP)
David Cohn
pablo at cs.washington.edu
Tue Nov 19 12:42:41 EST 1991
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NIPS Workshop on Active Learning and Control
Announcement (and call for participation)
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organizers: David Cohn, University of Washington
Don Sofge, MIT AI Lab
An "active" learning system is one that is not merely a passive
observer of its environment, but instead play an active role in
determining its inputs. This definition includes classification
networks that query for values in "interesting" parts of their domain,
learning systems that actively "explore" their environment, and
adaptive controllers that learn how to produce control outputs to
achieve a goal.
Common facets of these problems include building world models in
complex domains, exploring a domain to safely and efficiently, and,
planning future actions based on one's model.
In this workshop, our main focus will be to address key unsolved
problems which may be holding up progress on these problems rather
than presenting polished, finished results. Ours hopes are that
unsolved problems in one field may be able to draw on insight from
research in other fields.
Each session of the workshop will begin with introductions to specific
problems in the field by researchers in each area, with the second half
of each session reserved for discussion.
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Current speakers include:
Chris Atkeson, MIT AI Lab
Tom Dietterich, Oregon State Univ.
Michael Jordan, MIT Brain & Cognitive Sciences
Michael Littman, BellCore
Andrew Moore, MIT AI Lab
Jurgen Schmidhuber, Univ. of Colorado, Boulder
Satinder Singh, UMass Amherst
Rich Sutton, GTE
Sebastian Thrun, Carnegie-Mellon University
A few open slots remain, so if you would be interested in discussing
your "key unsolved problem" in active learning, exploration, planning
or control, send email to David Cohn (pablo at cs.washington.edu) or Don
Sofge (sofge at ai.mit.edu).
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Friday, 12/6, Morning Active Learning
" " Afternoon Learning Control
Saturday, 12/7, Morning Active Exploration
" " Afternoon Planning
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