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AGI
2008
13 years 6 months ago
A computational approximation to the AIXI model
Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induct...
Sergey Pankov
JAIR
2011
187views more  JAIR 2011»
12 years 11 months ago
A Monte-Carlo AIXI Approximation
This paper describes a computationally feasible approximation to the AIXI agent, a universal reinforcement learning agent for arbitrary environments. AIXI is scaled down in two ke...
Joel Veness, Kee Siong Ng, Marcus Hutter, William ...
AAAI
2010
13 years 6 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...
ICAC
2007
IEEE
13 years 11 months ago
Approximation Modeling for the Online Performance Management of Distributed Computing Systems
—A promising method of automating management tasks in computing systems is to formulate them as control or optimization problems in terms of performance metrics. For an online op...
Dara Kusic, Nagarajan Kandasamy, Guofei Jiang
CA
2002
IEEE
13 years 9 months ago
Employing Approximate 3D Models to Enrich Traditional Computer Assisted Animation
Although computer assistance for traditional animation is gaining a lot of attention during recent years, it still has to cope with many limitations. Part of the current research ...
Fabian Di Fiore, Frank Van Reeth