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ICML
1996
IEEE
15 years 10 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
181
Voted
COCOA
2008
Springer
15 years 8 months ago
New Algorithms for k-Center and Extensions
The problem of interest is covering a given point set with homothetic copies of several convex containers C1,...,Ck, while the objective is to minimize the maximum over the dilatat...
René Brandenberg, Lucia Roth
DLT
2003
15 years 8 months ago
NFA Reduction Algorithms by Means of Regular Inequalities
We present different techniques for reducing the number of states and transitions in nondeterministic automata. These techniques are based on the two preorders over the set of st...
Jean-Marc Champarnaud, Fabien Coulon
163
Voted
AAAI
2007
15 years 9 months ago
A New Algorithm for Generating Equilibria in Massive Zero-Sum Games
In normal scenarios, computer scientists often consider the number of states in a game to capture the difficulty of learning an equilibrium. However, players do not see games in ...
Martin Zinkevich, Michael H. Bowling, Neil Burch
JSAC
2011
126views more  JSAC 2011»
15 years 1 months ago
Spectrum Management in Multiuser Cognitive Wireless Networks: Optimality and Algorithm
Abstract— Spectrum management is used to improve performance in multiuser communication system, e.g., cognitive radio or femtocell networks, where multiuser interference can lead...
Chee Wei Tan, S. Friedland, Steven H. Low