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» Choosing an object-oriented domain framework
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ICML
2005
IEEE
14 years 7 months ago
Dynamic preferences in multi-criteria reinforcement learning
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Sriraam Natarajan, Prasad Tadepalli
HICSS
2007
IEEE
141views Biometrics» more  HICSS 2007»
14 years 1 months ago
Social Decision Making with Multi-Relational Networks and Grammar-Based Particle Swarms
Abstract— Social decision support systems are able to aggregate the local perspectives of a diverse group of individuals into a global social decision. This paper presents a mult...
Marko A. Rodriguez
SETN
2004
Springer
14 years 1 days ago
Data Brokers: Building Collections through Automated Negotiation
Collecting digital materials is time-consuming and can gain from automation. Since each source—and even each acquisition—may involve a separate negotiation of terms, a collecto...
Fillia Makedon, Song Ye, Sheng Zhang, James Ford, ...
AAAI
2008
13 years 9 months ago
Generating Application-Specific Benchmark Models for Complex Systems
Automated generators for synthetic models and data can play a crucial role in designing new algorithms/modelframeworks, given the sparsity of benchmark models for empirical analys...
Jun Wang, Gregory M. Provan
AAAI
1996
13 years 8 months ago
Lazy Arc Consistency
Arc consistency filtering is widely used in the framework of binary constraint satisfaction problems: with a low complexity, inconsistency may be detected,and domains are filtered...
Thomas Schiex, Jean-Charles Régin, Christin...