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ICANN
2001
Springer
14 years 2 months ago
Market-Based Reinforcement Learning in Partially Observable Worlds
Unlike traditional reinforcement learning (RL), market-based RL is in principle applicable to worlds described by partially observable Markov Decision Processes (POMDPs), where an ...
Ivo Kwee, Marcus Hutter, Jürgen Schmidhuber
ECCV
2010
Springer
14 years 2 months ago
Blocks World Revisited: Image Understanding using Qualitative Geometry and Mechanics
Since most current scene understanding approaches operate either on the 2D image or using a surface-based representation, they do not allow reasoning about the physical constrain...
Abhinav Gupta, Alexei A. Efros, Martial Hebert
TSMC
2008
86views more  TSMC 2008»
13 years 9 months ago
Object Worlds in Work Domain Analysis: A Model of Naval Damage Control
Abstract--This paper presents a work domain analysis of damage control on the Canadian Halifax Class frigate. Our analysis made use of the modeling construct of object worlds to he...
G. L. Torenvliet, G. A. Jamieson, R. Chow
HICSS
2011
IEEE
210views Biometrics» more  HICSS 2011»
13 years 1 months ago
Different Paths to Broadband Access: The Impact of Governance and Policy on Broadband Diffusion in the Developed and Developing
A new digital divide is emerging both within and between nations that is due to inequalities in broadband Internet access. Our research examines the broadband digital divide by an...
David J. Yates, Girish J. Gulati, Joseph W. Weiss
SUM
2007
Springer
14 years 3 months ago
Finding Most Probable Worlds of Probabilistic Logic Programs
Abstract. Probabilistic logic programs have primarily studied the problem of entailment of probabilistic atoms. However, there are some interesting applications where we are intere...
Samir Khuller, Maria Vanina Martinez, Dana S. Nau,...