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AAAI
2010
15 years 3 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...
JAPLL
2006
114views more  JAPLL 2006»
15 years 1 months ago
The monadic second-order logic of graphs XV: On a conjecture by D. Seese
A conjecture by D. Seese states that if a set of graphs has a decidable monadic second-order theory, then it is the image of a set of trees under a transformation defined by monad...
Bruno Courcelle
MST
2002
107views more  MST 2002»
15 years 1 months ago
A Comparison of Asymptotically Scalable Superscalar Processors
The poor scalability of existing superscalar processors has been of great concern to the computer engineering community. In particular, the critical-path lengths of many components...
Bradley C. Kuszmaul, Dana S. Henry, Gabriel H. Loh
ICAI
2009
14 years 11 months ago
Learning Mappings with Neural Network
The authors extended the idea of training multiple tasks simultaneously on a partially shared feed forward network. A shared input subvector was added to represented common inputs...
Yefei Peng, Paul W. Munro
CGF
2011
14 years 5 months ago
RTSAH Traversal Order for Occlusion Rays
We accelerate the finding of occluders in tree based acceleration structures, such as a packetized BVH and a single ray kd-tree, by deriving the ray termination surface area heur...
Thiago Ize, Charles D. Hansen