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» Representing Knowledge Gaps Effectively
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AIIDE
2006
13 years 9 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
IJCAI
2001
13 years 9 months ago
CAST: Collaborative Agents for Simulating Teamwork
Psychological studies on teamwork have shown that an effective team often can anticipate information needs of teammates based on a shared mental model. Existing multi-agent models...
John Yen, Jianwen Yin, Thomas R. Ioerger, Michael ...
AI
2005
Springer
13 years 7 months ago
Constraint-based reasoning and privacy/efficiency tradeoffs in multi-agent problem solving
Because of privacy concerns, agents may not want to reveal information that could be of use in problem solving. As a result, there are potentially important tradeoffs between main...
Richard J. Wallace, Eugene C. Freuder
CEC
2011
IEEE
12 years 7 months ago
Comparing alternative energy functions for the HP model of protein structure prediction
Abstract—Protein structure prediction is the problem of finding the functional conformation of a protein given only its amino uence. The HP lattice model is an abstract formulat...
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregor...
CIKM
2010
Springer
13 years 5 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan