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ICML
1996
IEEE
16 years 3 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»
15 years 3 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
15 years 24 days 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»
15 years 8 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»
15 years 2 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