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AAMAS
2007
Springer
16 years 24 days ago
Networks of Learning Automata and Limiting Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
Peter Vrancx, Katja Verbeeck, Ann Nowé
ATAL
2007
Springer
16 years 24 days ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
ATAL
2007
Springer
16 years 24 days ago
F-trade: an agent-mining symbiont for financial services
The interaction and integration of agent technology and data mining presents prominent benefits to solve some of challenging issues in individual areas. For instance, data mining ...
Longbing Cao, Chengqi Zhang
ATAL
2007
Springer
16 years 24 days ago
Policy recognition for multi-player tactical scenarios
This paper addresses the problem of recognizing policies given logs of battle scenarios from multi-player games. The ability to identify individual and team policies from observat...
Gita Sukthankar, Katia P. Sycara
ATAL
2007
Springer
16 years 24 days ago
An advanced bidding agent for advertisement selection on public displays
In this paper we present an advanced bidding agent that participates in first-price sealed bid auctions to allocate advertising space on BluScreen – an experimental public adve...
Alex Rogers, Esther David, Terry R. Payne, Nichola...