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AGI
2011
13 years 22 days ago
Measuring Agent Intelligence via Hierarchies of Environments
Under Legg’s and Hutter’s formal measure [1], performance in easy environments counts more toward an agent’s intelligence than does performance in difficult environments. An ...
Bill Hibbard
ICML
2009
IEEE
14 years 10 months ago
Discovering options from example trajectories
We present a novel technique for automated problem decomposition to address the problem of scalability in reinforcement learning. Our technique makes use of a set of near-optimal ...
Peng Zang, Peng Zhou, David Minnen, Charles Lee Is...
ICML
2003
IEEE
14 years 10 months ago
Relativized Options: Choosing the Right Transformation
Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...
Balaraman Ravindran, Andrew G. Barto
ICALT
2005
IEEE
14 years 2 months ago
Intelligent Visual Reasoning Tutor
Visual reasoning is an essential skill for many disciplines in engineering and architecture. We describe an intelligent tutoring system for visual reasoning that uses the missing ...
Eric Wang, Yong Se Kim
ECTEL
2008
Springer
13 years 11 months ago
A Supporting Architecture for Generic Service Integration in IMS Learning Design
Abstract. Learning Design offers the possibility of capturing the process, activities, user organization and resources used in a learning experience. But a wider set of scenarios a...
Luis de la Fuente Valentín, Yongwu Miao, Ab...