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ICML
1996
IEEE
14 years 8 months ago
Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning
Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
Sridhar Mahadevan
SODA
2004
ACM
127views Algorithms» more  SODA 2004»
13 years 9 months ago
An optimal randomized algorithm for maximum Tukey depth
We present the first optimal algorithm to compute the maximum Tukey depth (also known as location or halfspace depth) for a non-degenerate point set in the plane. The algorithm is...
Timothy M. Chan
WIOPT
2010
IEEE
13 years 6 months ago
Optimal monotone forwarding policies in delay tolerant mobile ad hoc networks with multiple classes of nodes
—In this paper we describe a framework for the optimal control of delay tolerant mobile ad hoc networks where multiple classes of nodes co-exist. We specialize the description of...
Francesco De Pellegrini, Eitan Altman, Tamer Basar
GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
14 years 1 months ago
Three dimensional evolutionary aerodynamic design optimization with CMA-ES
In this paper, we present the application of evolutionary optimization methods to a demanding, industrially relevant engineering domain, the three-dimensional optimization of gas ...
Martina Hasenjäger, Bernhard Sendhoff, Toyota...
FS
2006
81views more  FS 2006»
13 years 7 months ago
Optimal portfolio choice in the bond market
We consider the Merton problem of optimal portfolio choice when the traded instruments are the set of zero-coupon bonds. Working within an infinite-factor Markovian Heath-Jarrow-Mo...
Nathanael Ringer, Michael Tehranchi