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AAAI
2006
15 years 1 months ago
Representing Systems with Hidden State
We discuss the problem of finding a good state representation in stochastic systems with observations. We develop a duality theory that generalizes existing work in predictive sta...
Christopher Hundt, Prakash Panangaden, Joelle Pine...
AAAI
2006
15 years 1 months ago
Learning Representation and Control in Continuous Markov Decision Processes
This paper presents a novel framework for simultaneously learning representation and control in continuous Markov decision processes. Our approach builds on the framework of proto...
Sridhar Mahadevan, Mauro Maggioni, Kimberly Fergus...
AAAI
2008
15 years 2 months ago
Potential-based Shaping in Model-based Reinforcement Learning
Potential-based shaping was designed as a way of introducing background knowledge into model-free reinforcement-learning algorithms. By identifying states that are likely to have ...
John Asmuth, Michael L. Littman, Robert Zinkov
WWW
2003
ACM
16 years 14 days ago
SweetDeal: representing agent contracts with exceptions using XML rules, ontologies, and process descriptions
SweetDeal is a rule-based approach to representation of business contracts that enables software agents to create, evaluate, negotiate, and execute contracts with substantial auto...
Benjamin N. Grosof, Terrence C. Poon
AOSE
2003
Springer
15 years 5 months ago
From Agents to Organizations: An Organizational View of Multi-agent Systems
While multi-agent systems seem to provide a good basis for building complex software systems, this paper points out some of the drawbacks of classical “agent centered” multi-ag...
Jacques Ferber, Olivier Gutknecht, Fabien Michel