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IJCAI
2007
13 years 10 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
AAAI
1996
13 years 10 months ago
Navigation for Everyday Life
Past work in navigation has worked toward the goal of producing an accurate map of the environment. While no one can deny the usefulness of such a map, the ideal of producing a co...
Daniel D. Fu, Kristian J. Hammond, Michael J. Swai...
CIDR
2009
159views Algorithms» more  CIDR 2009»
13 years 10 months ago
RIOT: I/O-Efficient Numerical Computing without SQL
R is a numerical computing environment that is widely popular for statistical data analysis. Like many such environments, R performs poorly for large datasets whose sizes exceed t...
Yi Zhang 0011, Herodotos Herodotou, Jun Yang 0001
IJVR
2008
111views more  IJVR 2008»
13 years 9 months ago
Improve a Game Board based on Cultural Algorithms
Evolutionary computation is a generic term used to make reference to the solution of computational problems planned and implemented based on models of an evolutionary process. Most...
Alberto Ochoa, Alejandro Padilla, Saúl Gonz...
NN
2008
Springer
114views Neural Networks» more  NN 2008»
13 years 9 months ago
Event detection and localization for small mobile robots using reservoir computing
Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability,...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...