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» Optimization Problems in Congestion Control
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NIPS
1998
15 years 5 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
ICDE
2007
IEEE
142views Database» more  ICDE 2007»
15 years 10 months ago
Database Virtualization: A New Frontier for Database Tuning and Physical Design
Resource virtualization is currently being employed at all levels of the IT infrastructure to improve provisioning and manageability, with the goal of reducing total cost of owner...
Ahmed A. Soror, Ashraf Aboulnaga, Kenneth Salem
SASO
2007
IEEE
15 years 10 months ago
On Scaling Multi-Agent Task Reallocation Using Market-Based Approach
Multi-agent systems (MAS) provide a promising technology for addressing problems such as search and rescue missions, mine sweeping, and surveillance. These problems are a form of ...
Rajesh K. Karmani, Timo Latvala, Gul Agha
GECCO
2007
Springer
130views Optimization» more  GECCO 2007»
15 years 10 months ago
Variable discrimination of crossover versus mutation using parameterized modular structure
Recent work has provided functions that can be used to prove a principled distinction between the capabilities of mutation-based and crossover-based algorithms. However, prior fun...
Rob Mills, Richard A. Watson
GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
15 years 9 months ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu