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ICMLA
2004
15 years 6 months ago
Satisficing Q-learning: efficient learning in problems with dichotomous attributes
In some environments, a learning agent must learn to balance competing objectives. For example, a Q-learner agent may need to learn which choices expose the agent to risk and whic...
Michael A. Goodrich, Morgan Quigley
130
Voted
GAMEON
2001
15 years 6 months ago
Stratego Expert System Shell
The field of multi-agent systems is an active area of research. One of the possible applications of a multi-agent system is the use of distributed techniques for problem solving. ...
Caspar Treijtel, Léon J. M. Rothkrantz
127
Voted
ATAL
2010
Springer
15 years 5 months ago
Eclipse-based Prometheus design tool
The Prometheus Design Tool (PDT) is a graphical tool that is used to design a Multi-Agent System following the Prometheus Methodology. This paper describes the latest version of P...
Hongyuan Sun, John Thangarajah, Lin Padgham
CORR
2008
Springer
147views Education» more  CORR 2008»
15 years 4 months ago
A Minimum Relative Entropy Principle for Learning and Acting
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
Pedro A. Ortega, Daniel A. Braun
JAIR
2006
111views more  JAIR 2006»
15 years 4 months ago
Learning in Real-Time Search: A Unifying Framework
Real-time search methods are suited for tasks in which the agent is interacting with an initially unknown environment in real time. In such simultaneous planning and learning prob...
Vadim Bulitko, Greg Lee