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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
EUROPAR
2000
Springer
15 years 10 months ago
Novel Models for Or-Parallel Logic Programs: A Performance Analysis
One of the advantages of logic programming is the fact that it offers many sources of implicit parallelism, such as and-parallelism and or-parallelism. Arguably, or-parallel system...
Vítor Santos Costa, Ricardo Rocha, Fernando...
FOCS
2000
IEEE
15 years 10 months ago
Approximating the single source unsplittable min-cost flow problem
Abstract. In the single source unsplittable min-cost flow problem, commodities must be routed simultaneously from a common source vertex to certain destination vertices in a given ...
Martin Skutella
DAC
1995
ACM
15 years 10 months ago
A Transformation-Based Approach for Storage Optimization
High-level synthesis (HLS) has been successfully targeted towards the digital signal processing (DSP) domain. Both application-speci c integrated circuits (ASICs) and application-...
Wei-Kai Cheng, Youn-Long Lin
FPCA
1995
15 years 10 months ago
How Much Non-Strictness do Lenient Programs Require?
Lenient languages, such as Id90, have been touted as among the best functional languages for massively parallel machines AHN88]. Lenient evaluation combines non-strict semantics w...
Klaus E. Schauser, Seth Copen Goldstein