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ATAL
2003
Springer
15 years 11 months ago
Towards a pareto-optimal solution in general-sum games
Multiagent learning literature has investigated iterated twoplayer games to develop mechanisms that allow agents to learn to converge on Nash Equilibrium strategy profiles. Such ...
Sandip Sen, Stéphane Airiau, Rajatish Mukhe...
DIS
1999
Springer
15 years 10 months ago
The Melting Pot of Automated Discovery: Principles for a New Science
After two decades of research on automated discovery, many principles are shaping up as a foundation of discovery science. In this paper we view discovery science as automation of ...
Jan M. Zytkow
ATAL
2007
Springer
15 years 10 months ago
Confidence-based policy learning from demonstration using Gaussian mixture models
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
Sonia Chernova, Manuela M. Veloso
ATAL
2006
Springer
15 years 10 months ago
Efficient agent-based cluster ensembles
Numerous domains ranging from distributed data acquisition to knowledge reuse need to solve the cluster ensemble problem of combining multiple clusterings into a single unified cl...
Adrian K. Agogino, Kagan Tumer
ATAL
2006
Springer
15 years 8 months ago
On proactivity and maintenance goals
Goals are an important concept in intelligent agent systems, and can take a variety of forms. One such form is maintenance goals, which, unlike achievement goals, define states th...
Simon Duff, James Harland, John Thangarajah