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» A Linear Belief Function Approach to Portfolio Evaluation
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TEC
2010
112views more  TEC 2010»
13 years 22 days ago
Population-Based Algorithm Portfolios for Numerical Optimization
In this paper, we consider the scenario that a population-based algorithm is applied to a numerical optimization problem and a solution needs to be presented within a given time bu...
Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
AIPS
2010
13 years 6 months ago
A New Approach to Conformant Planning Using CNF*
In this paper, we develop a heuristic, progression based conformant planner, called CNF, which represents belief states by a special type of CNF formulae, called CNF-states. We de...
Son Thanh To, Tran Cao Son, Enrico Pontelli
AI
2006
Springer
13 years 9 months ago
Belief Selection in Point-Based Planning Algorithms for POMDPs
Abstract. Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value funct...
Masoumeh T. Izadi, Doina Precup, Danielle Azar
ECAI
2008
Springer
13 years 7 months ago
Exploiting locality of interactions using a policy-gradient approach in multiagent learning
In this paper, we propose a policy gradient reinforcement learning algorithm to address transition-independent Dec-POMDPs. This approach aims at implicitly exploiting the locality...
Francisco S. Melo
ICANNGA
2007
Springer
120views Algorithms» more  ICANNGA 2007»
14 years 5 days ago
Evolutionary Approach to the Game of Checkers
A new method of genetic evolution of linear and nonlinear evaluation functions in the game of checkers is presented. Several practical issues concerning application of genetic algo...
Magdalena Kusiak, Karol Waledzik, Jacek Mandziuk