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NIPS
2007
15 years 7 months ago
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
We present an algorithm called Optimistic Linear Programming (OLP) for learning to optimize average reward in an irreducible but otherwise unknown Markov decision process (MDP). O...
Ambuj Tewari, Peter L. Bartlett
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
15 years 7 months ago
Varying portfolio construction of stocks using genetic network programming with control nodes
A new evolutionary method named “Genetic Network Programming with Control Nodes, GNPcn” has been proposed and applied to determine the timing of buying and selling stocks. GNP...
Etsushi Ohkawa, Yan Chen, Shingo Mabu, Kaoru Shima...
JFR
2006
108views more  JFR 2006»
15 years 6 months ago
Learning in a hierarchical control system: 4D/RCS in the DARPA LAGR program
The Defense Applied Research Projects Agency (DARPA) Learning Applied to Ground Vehicles (LAGR) program aims to develop algorithms for autonomous vehicle navigation that learn how...
James S. Albus, Roger Bostelman, Tommy Chang, Tsai...

Book
2651views
17 years 4 months ago
Object Oriented Programming with ANSI-C
"This book is not going to praise object-oriented programming or condemn the Old Way. We are simply going to use ANSI-C to discover how object-oriented programming is done, w...
Axel-Tobias Schreiner
ARC
2009
Springer
102views Hardware» more  ARC 2009»
16 years 29 days ago
A Parallel Branching Program Machine for Emulation of Sequential Circuits
The parallel branching program machine (PBM128) consists of 128 branching program machines (BMs) and a programmable interconnection. To represent logic functions on BMs, we use qua...
Hiroki Nakahara, Tsutomu Sasao, Munehiro Matsuura,...