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AAAI
2010
15 years 7 months ago
Reinforcement Learning via AIXI Approximation
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
Joel Veness, Kee Siong Ng, Marcus Hutter, David Si...
CCCG
2009
15 years 7 months ago
Approximating Maximum Flow in Polygonal Domains using Spanners
We study a maximum flow problem in a polygonal domain P: Determine the maximum number of disjoint "thick" paths (of specified width w) through P from a source edge to a ...
Joondong Kim, Joseph S. B. Mitchell, Jingyu Zou
ORL
2008
124views more  ORL 2008»
15 years 6 months ago
Sample average approximation of expected value constrained stochastic programs
We propose a sample average approximation (SAA) method for stochastic programming problems involving an expected value constraint. Such problems arise, for example, in portfolio s...
Wei Wang, Shabbir Ahmed
ALGORITHMICA
1999
102views more  ALGORITHMICA 1999»
15 years 6 months ago
Approximating Latin Square Extensions
In this paper, we consider the following question: what is the maximum number of entries that can be added to a partially lled latin square? The decision version of this question ...
Ravi Kumar, Alexander Russell, Ravi Sundaram
TIP
2002
116views more  TIP 2002»
15 years 6 months ago
Adaptive approximate nearest neighbor search for fractal image compression
Fractal image encoding is a computationally intensive method of compression due to its need to find the best match between image sub-blocks by repeatedly searching a large virtual...
Chong Sze Tong, Man Wong