[Lisa_seminaires] Fwd: Upcoming Seminar - Stuart Russell, Berkeley: June 30/08

Dumitru Erhan dumitru.erhan at umontreal.ca
Dim 29 Juin 23:11:23 EDT 2008


Reminder!

Begin forwarded message:

> From: "Joelle Pineau" <jpineau at cs.mcgill.ca>
> Date: June 26, 2008 10:08:42 AM EDT (CA)
> To: lisa_seminaires at IRO.UMontreal.CA, labrl at cs.mcgill.ca, cim-all at cim.mcgill.ca 
> , profs at cs.mcgill.ca
> Cc: jvybihal at cs.mcgill.ca, nat at site.uottawa.ca,  
> chaib at iad.ift.ulaval.ca
> Subject: [Lisa_seminaires] Upcoming Seminar - Stuart Russell,  
> Berkeley: June 30/08
> Reply-To: jpineau at cs.mcgill.ca
>
> Hello everyone,
>
> Please note this important seminar. Stuart Russell is a world-renowned
> researcher in Artificial Intelligence, and author of the leading  
> textbook
> on the topic.
> Everyone is encouraged to attend!
>
> Monday June 30th, 2008
> McConnell Engineering Rm 12
> 2:00pm
>
> Hierarchical learning and decision making
>
> Stuart Russell
> Computer Science Division
> University of California, Berkeley
>
> Effective behaviour in complex environments requires some form of
> hierarchical structure. The first part of the talk covers hierarchical
> reinforcement learning, wherein guidance as to the correct
> hierarchical structure can be supplied to an agent in the form of a
> *partial program* in which choices may be left unspecified. The ALisp
> language - an partial programming extension of Lisp - includes
> reinforcement learning algorithms that converge to the optimal
> complete program consistent with the given partial program.  ALisp
> includes constructs for specifying asynchronous concurrent activities.
> ALisp shows promise as a tool for scaling up reinforcement learning.
>
> The second part of the talk covers lookahead decision making with
> hierarchical constraints on behavior. Here the setting is classical
> hierarchical planning. We resolve a longstanding open problem by
> defining *angelic* semantics for high-level actions and providing the
> first algorithms capable of proving that a high-level plan is correct
> and optimal without considering its concrete implementations. We also
> consider online hierarchical search with bounded lookahead.
>
> [Joint work with Ron Parr, David Andre, Bhaskara Marthi,
>  Andy Zimdars, David Latham, Carlos Guestrin, Jason Wolfe]
>
>
> Stuart Russell was born in Portsmouth, England. He received his B.A.  
> with
> first-class honours in Physics from Wadham College, Oxford  
> University in
> 1982, and his Ph.D. in Computer Science from Stanford in 1986. He then
> joined the faculty of the University of California, Berkeley, where  
> he is
> currently Professor and Chair of Computer Science. In 2003 he was  
> inducted
> as a Fellow of the Association for Computing Machinery.  Stuart  
> Russell is
> an author of the textbook Artificial Intelligence: A Modern Approach
> (together with Peter Norvig).
>
>
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