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CORR
2008
Springer
147views Education» more  CORR 2008»
13 years 7 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
ATAL
2008
Springer
13 years 9 months ago
Automated design of scoring rules by learning from examples
Scoring rules are a broad and concisely-representable class of voting rules which includes, for example, Plurality and Borda. Our main result asserts that the class of scoring rul...
Ariel D. Procaccia, Aviv Zohar, Jeffrey S. Rosensc...
SASO
2007
IEEE
14 years 2 months ago
Designing Self-Organising Emergent Systems based on Information Flows and Feedback-loops
For self-organising emergent solutions, there is no support to explicitly design system-wide information flows and feedback loops in those flows. This is problematic because the...
Tom De Wolf, Tom Holvoet
ROBOCUP
2007
Springer
102views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
Heuristic Reinforcement Learning Applied to RoboCup Simulation Agents
This paper describes the design and implementation of robotic agents for the RoboCup Simulation 2D category that learns using a recently proposed Heuristic Reinforcement Learning a...
Luiz A. Celiberto, Carlos H. C. Ribeiro, Anna Hele...
AIED
2007
Springer
14 years 2 months ago
Tools for Authoring a Dialogue Agent that Participates in Learning Studies
TuTalk supports the rapid development of dialogue agents for learning applications. It enables an experimenter to create a dialogue agent with either minimal or no programming and ...
Pamela W. Jordan, Brian Hall, Michael A. Ringenber...