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JMLR
2010
125views more  JMLR 2010»
13 years 4 months ago
Variational methods for Reinforcement Learning
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
Thomas Furmston, David Barber
ICCV
1999
IEEE
14 years 1 months ago
Illumination Distribution from Brightness in Shadows: Adaptive Estimation of Illumination Distribution with Unknown Reflectance
This paper describes a new method for estimating the illumination distribution of a real scene from a radiance distribution inside shadows cast by an object in the scene. First, t...
Imari Sato, Yoichi Sato, Katsushi Ikeuchi
EUC
2004
Springer
14 years 2 months ago
Construction of Distributed Object Group Framework and Its Execution Analysis Using Distributed Application Simulation
The Distributed Object Group Framework(DOGF) we constructed supports the grouping of distributed objects that are required for distributed application. From the DOGF, we manage dis...
Chang-Sun Shin, Chang-Won Jeong, Su-Chong Joo
ICCI
1992
14 years 1 months ago
A Distributed Kernel for Virtual Time Driven Applications
The advent of distributed memory parallel muchines turns feasible the design and implementation of dedicated environments for distributed applications. This puper addresses such a...
Philippe Ingels, Carlos Maziero, Michel Raynal
LSSC
2001
Springer
14 years 1 months ago
IC2D: Interactive Control and Debugging of Distribution
Within the trend of object-based distributed programming, we present a non-intrusive graphical environment for remote monitoring and steering, IC2D: Interactive Control and Debuggi...
Françoise Baude, Alexandre Bergel, Denis Ca...