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ATAL
2005
Springer
14 years 1 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
PPOPP
2009
ACM
14 years 8 months ago
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle
CORR
2010
Springer
179views Education» more  CORR 2010»
13 years 5 months ago
An Economic-based Resource Management and Scheduling for Grid Computing Applications
Resource management and scheduling plays a crucial role in achieving high utilization of resources in grid computing environments. Due to heterogeneity of resources, scheduling an...
G. Murugesan, C. Chellappan
CCGRID
2008
IEEE
14 years 2 months ago
Scheduling Asymmetric Parallelism on a PlayStation3 Cluster
Understanding the potential and implications of asymmetric multi-core processors for cluster computing is necessary, as these processors are rapidly becoming mainstream components...
Filip Blagojevic, Matthew Curtis-Maury, Jae-Seung ...
CP
2000
Springer
13 years 12 months ago
Optimal Anytime Constrained Simulated Annealing for Constrained Global Optimization
Abstract. In this paper we propose an optimal anytime version of constrained simulated annealing (CSA) for solving constrained nonlinear programming problems (NLPs). One of the goa...
Benjamin W. Wah, Yixin Chen