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ATAL
2007
Springer
14 years 1 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
IPPS
1999
IEEE
13 years 11 months ago
Non-Preemptive Scheduling of Real-Time Threads on Multi-Level-Context Architectures
The rapid progress in high-performance microprocessor design has made it di cult to adapt real-time scheduling results to new models of microprocessor hardware, thus leaving an un...
Jan Jonsson, Henrik Lönn, Kang G. Shin
DAC
2011
ACM
12 years 7 months ago
Supervised design space exploration by compositional approximation of Pareto sets
Technology scaling allows the integration of billions of transistors on the same die but CAD tools struggle in keeping up with the increasing design complexity. Design productivit...
Hung-Yi Liu, Ilias Diakonikolas, Michele Petracca,...
MM
2003
ACM
118views Multimedia» more  MM 2003»
14 years 23 days ago
PROMISE: peer-to-peer media streaming using CollectCast
We present the design, implementation, and evaluation of PROMISE, a novel peer-to-peer media streaming system encompassing the key functions of peer lookup, peer-based aggregated ...
Mohamed Hefeeda, Ahsan Habib, Boyan Botev, Dongyan...
PPSN
2004
Springer
14 years 26 days ago
Indicator-Based Selection in Multiobjective Search
Abstract. This paper discusses how preference information of the decision maker can in general be integrated into multiobjective search. The main idea is to first define the opti...
Eckart Zitzler, Simon Künzli