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AGENTS
2001
Springer
14 years 1 months ago
Hierarchical multi-agent reinforcement learning
In this paper, we investigate the use of hierarchical reinforcement learning (HRL) to speed up the acquisition of cooperative multi-agent tasks. We introduce a hierarchical multi-a...
Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamz...
IUI
2000
ACM
14 years 1 months ago
Learning to recommend from positive evidence
In recent years, many systems and approaches for recommending information, products or other objects have been developed. In these systems, often machine learning methods that nee...
Ingo Schwab, Wolfgang Pohl, Ivan Koychev
VLDB
1999
ACM
118views Database» more  VLDB 1999»
14 years 1 months ago
Similarity Search in High Dimensions via Hashing
The nearest- or near-neighbor query problems arise in a large variety of database applications, usually in the context of similarity searching. Of late, there has been increasing ...
Aristides Gionis, Piotr Indyk, Rajeev Motwani
SIGMOD
1998
ACM
97views Database» more  SIGMOD 1998»
14 years 1 months ago
Cost Based Query Scrambling for Initial Delays
Remote data access from disparate sources across a widearea network such as the Internet is problematic due to the unpredictable nature of the communications medium and the lack o...
Tolga Urhan, Michael J. Franklin, Laurent Amsaleg
VLDB
1998
ACM
108views Database» more  VLDB 1998»
14 years 1 months ago
MindReader: Querying Databases Through Multiple Examples
Users often can not easily express their queries. For example, in a multimedia image by content setting, the user might want photographs with sunsets; in current systems, like QBI...
Yoshiharu Ishikawa, Ravishankar Subramanya, Christ...