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PPSN
1998
Springer
15 years 10 months ago
Solving Binary Constraint Satisfaction Problems Using Evolutionary Algorithms with an Adaptive Fitness Function
This paper presents a comparative study of Evolutionary Algorithms (EAs) for Constraint Satisfaction Problems (CSPs). We focus on EAs where fitness is based on penalization of cons...
A. E. Eiben, Jano I. van Hemert, Elena Marchiori, ...
CONPAR
1994
15 years 10 months ago
Automatic Spark Strategies and Granularity for a Parallel Functional Language Reducer
This paper considers the issue of dynamic task control in the context of a parallel Haskell implementation on the GRIP multiprocessor. For the rst time, we report the e ect of our ...
Kevin Hammond, James S. Mattson Jr., Simon L. Peyt...
SIAMCO
2010
107views more  SIAMCO 2010»
15 years 1 months ago
Optimal Control under Stochastic Target Constraints
We study a class of Markovian optimal stochastic control problems in which the controlled process Z is constrained to satisfy an a.s. constraint Z (T) G Rd+1 P - a.s. at some fi...
Bruno Bouchard, Romuald Elie, Cyril Imbert
SPAA
1996
ACM
15 years 10 months ago
Constant Time per Edge is Optimal on Rooted Tree Networks
We analyze the relationship between the expected packet delay in rooted tree networks and the distribution of time needed for a packet to cross an edge using convexity-based stoch...
Michael Mitzenmacher
ECML
2004
Springer
15 years 11 months ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner