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SAB
2010
Springer
189views Optimization» more  SAB 2010»
15 years 4 months ago
TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
Olga Kozlova, Olivier Sigaud, Christophe Meyer
INFOCOM
2012
IEEE
13 years 8 months ago
A simpler and better design of error estimating coding
—We study error estimating codes with the goal of establishing better bounds for the theoretical and empirical overhead of such schemes. We explore the idea of using sketch data ...
Nan Hua, Ashwin Lall, Baochun Li, Jun Xu
ICRA
2003
IEEE
129views Robotics» more  ICRA 2003»
15 years 11 months ago
Optimal navigation and object finding without geometric maps or localization
In this paper we present a dynamic data structure, useful for robot navigation in an unknown, simplyconnected planar environment. The guiding philosophy in this work is to avoid t...
Benjamín Tovar, Steven M. LaValle, Rafael M...
PPOPP
2003
ACM
15 years 11 months ago
Exploiting high-level coherence information to optimize distributed shared state
InterWeave is a distributed middleware system that supports the sharing of strongly typed, pointer-rich data structures across a wide variety of hardware architectures, operating ...
DeQing Chen, Chunqiang Tang, Brandon Sanders, Sand...
ICML
2005
IEEE
16 years 7 months ago
Optimal assignment kernels for attributed molecular graphs
We propose a new kernel function for attributed molecular graphs, which is based on the idea of computing an optimal assignment from the atoms of one molecule to those of another ...
Andreas Zell, Florian Sieker, Holger Fröhlich...