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IPSN
2010
Springer
15 years 3 months ago
i-MAC - a MAC that learns
Traffic patterns in manufacturing machines exhibit strong temporal correlations due to the underlying repetitive nature of their operations. A MAC protocol can potentially learn t...
Krishna Kant Chintalapudi
EPIA
2005
Springer
15 years 12 months ago
Learning to Select Negotiation Strategies in Multi-agent Meeting Scheduling
In this paper, we look at the Multi-Agent Meeting Scheduling problem where distributed agents negotiate meeting times on behalf of their users. While many negotiation approaches ha...
Elisabeth Crawford, Manuela M. Veloso
IFIP
1997
Springer
15 years 10 months ago
Representing a body of knowledge for teaching, learning and assessment
: National and international standards for professional groups may become a dominant and governing force as internet-based professional training becomes universally accepted. Educa...
Don Sheridan, David White
ICRA
1995
IEEE
79views Robotics» more  ICRA 1995»
15 years 10 months ago
Learning to predict Resistive Forces During Robotic Excavation
— Few robot tasks require as forceful an interaction with the world as excavation. In order to effectively plan its actions, our robot excavator requires a method that allows it ...
Sanjiv Singh
JAIR
2006
111views more  JAIR 2006»
15 years 6 months ago
Learning in Real-Time Search: A Unifying Framework
Real-time search methods are suited for tasks in which the agent is interacting with an initially unknown environment in real time. In such simultaneous planning and learning prob...
Vadim Bulitko, Greg Lee