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» Context-mediated behavior for intelligent agents
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AAAI
2008
14 years 15 days 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
AAAI
2008
14 years 15 days ago
Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker
We propose an opponent modeling approach for no-limit Texas hold-em poker that starts from a (learned) prior, i.e., general expectations about opponent behavior and learns a relat...
Marc J. V. Ponsen, Jan Ramon, Tom Croonenborghs, K...
AAAI
2000
13 years 11 months ago
Class-Based Construction of a Verb Lexicon
We present an approach to building a verb lexicon compatible with WordNet but with explicitly stated syntactic and semantic information, using Levin verb classes to systematically...
Karin Kipper, Hoa Trang Dang, Martha Stone Palmer
AAAI
2010
13 years 11 months ago
Filtering Bounded Knapsack Constraints in Expected Sublinear Time
We present a highly efficient incremental algorithm for propagating bounded knapsack constraints. Our algorithm is based on the sublinear filtering algorithm for binary knapsack c...
Yuri Malitsky, Meinolf Sellmann, Radoslaw Szymanek
ACRI
2004
Springer
14 years 3 months ago
Chaos in a Simple Cellular Automaton Model of a Uniform Society
In this work we study the collective behavior in a model of a simplified homogeneous society. Each agent is modeled as a binary “perceptron”, receiving neighbors’ opinions a...
Franco Bagnoli, Fabio Franci, Raúl Rechtman