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» Models of active learning in group-structured state spaces
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NIPS
2007
14 years 11 months ago
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
We provide a provably efficient algorithm for learning Markov Decision Processes (MDPs) with continuous state and action spaces in the online setting. Specifically, we take a mo...
Alexander L. Strehl, Michael L. Littman
92
Voted
ICALT
2006
IEEE
15 years 3 months ago
Effective Analysis and Design of Computer-Supported Learning System
The analysis phase constitutes an essential step in the development of information systems. Nevertheless, learning materials design activities currently have reduced the analysis ...
David Díez Cebollero, Camino Fernánd...
AUTOMATICA
2008
198views more  AUTOMATICA 2008»
14 years 8 months ago
Asynchronous cellular learning automata
Cellular learning automata is a combination of cellular automata and learning automata. The synchronous version of cellular learning automata in which all learning automata in dif...
Hamid Beigy, Mohammad Reza Meybodi
71
Voted
TSMC
2010
14 years 4 months ago
Interaction Modeling and Prediction in Smart Spaces: A Bio-Inspired Approach Based on Autobiographical Memory
In Smart Spaces (SSs), the capability of learning from experience is fundamental for autonomous adaptation to environmental changes and for proactive interaction with users. New re...
Alessio Dore, Andrea F. Cattoni, Carlo S. Regazzon...
ICCV
2011
IEEE
13 years 9 months ago
Learning Spatiotemporal Graphs of Human Activities
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
William Brendel, Sinisa Todorovic