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LAMAS
2005
Springer
15 years 9 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
VLDB
2005
ACM
175views Database» more  VLDB 2005»
15 years 9 months ago
Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces
The skyline operator is important for multicriteria decision making applications. Although many recent studies developed efficient methods to compute skyline objects in a specifi...
Jian Pei, Wen Jin, Martin Ester, Yufei Tao
NMR
2004
Springer
15 years 9 months ago
Towards higher impact argumentation
There are a number of frameworks for modelling argumentation in logic. They incorporate a formal representation of individual arguments and techniques for comparing conflicting a...
Anthony Hunter
DASFAA
2003
IEEE
115views Database» more  DASFAA 2003»
15 years 9 months ago
The BofS Solution to Limitations of Approximate Summaries
Data warehouses are of crucial importance to decision-making in competitive organizations. The fact that they store enormous quantities of data is a challenge in what concerns per...
Pedro Furtado, João Pedro Costa
SEW
2003
IEEE
15 years 9 months ago
Model-Based Software Testing via Incremental Treatment Learning
Model-based software has become quite popular in recent years, making its way into a broad range of areas, including the aerospace industry. The models provide an easy graphical i...
Dustin Geletko, Tim Menzies