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» Multiagent simulation of learning environments
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ICML
2006
IEEE
14 years 8 months ago
Qualitative reinforcement learning
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
Arkady Epshteyn, Gerald DeJong
JAIR
2002
120views more  JAIR 2002»
13 years 7 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling
IPOM
2007
Springer
14 years 1 months ago
Cognitive Network Management with Reinforcement Learning for Wireless Mesh Networks
We present a framework of cognitive network management by means of an autonomic reconfiguration scheme. We propose a network architecture that enables intelligent services to meet ...
Minsoo Lee, Dan Marconett, Xiaohui Ye, S. J. Ben Y...
ER
1999
Springer
196views Database» more  ER 1999»
14 years 7 hour ago
A Process-Integrated Conceptual Design Environment for Chemical Engineering
Abstract. The process industries (chemicals, food, oil, ...) are characterized by - continuous or batch -- processes of material transformation. The design of such processes, and t...
Matthias Jarke, Thomas List, Klaus Weidenhaupt
CHI
2009
ACM
14 years 2 months ago
Growing up programming: democratizing the creation of dynamic, interactive media
Young people interact with games, animations, and simulations all of the time. But few of them are able to create interactive media. The obstacle: traditional programming language...
Mitchel Resnick, Mary Flanagan, Caitlin Kelleher, ...