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CORR
2007
Springer
73views Education» more  CORR 2007»
13 years 7 months ago
Universal Reinforcement Learning
—We consider an agent interacting with an unmodeled environment. At each time, the agent makes an observation, takes an action, and incurs a cost. Its actions can influence futu...
Vivek F. Farias, Ciamac Cyrus Moallemi, Tsachy Wei...
SIGECOM
2011
ACM
216views ECommerce» more  SIGECOM 2011»
12 years 10 months ago
Strategic sequential voting in multi-issue domains and multiple-election paradoxes
In many settings, a group of agents must come to a joint decision on multiple issues. In practice, this is often done by voting on the issues in sequence. In this paper, we model ...
Lirong Xia, Vincent Conitzer, Jérôme ...
APGV
2006
ACM
14 years 1 months ago
Updating orientation in large virtual environments using scaled translational gain
Navigating through large virtual environments using a headmounted display (HMD) is difficult due to the spatial limitations of the tracking system. We conducted two experiments t...
Betsy Williams, Gayathri Narasimham, Timothy P. Mc...
WMTE
2005
IEEE
14 years 1 months ago
'Location is not enough!': an Empirical Study of Location-Awareness in Mobile Collaboration
: There is an ever growing number of mobile learning applications based on location-awareness, However, there is still a lack of information concerning how it might impact socio-co...
Nicolas Nova, Fabien Girardin, Pierre Dillenbourg
ATAL
2003
Springer
14 years 23 days ago
Towards interest-based negotiation
Negotiation is essential in settings where agents have conflicting interests and a desire to cooperate. In many approaches, agents are assumed to have pre-set, fixed preferences...
Iyad Rahwan, Liz Sonenberg, Frank Dignum