Sciweavers

4446 search results - page 252 / 890
» Learning Observer Agents
Sort
View
AAAI
2007
15 years 9 months ago
Learning Voting Trees
Binary voting trees provide a succinct representation for a large and prominent class of voting rules. In this paper, we investigate the PAC-learnability of this class of rules. W...
Ariel D. Procaccia, Aviv Zohar, Yoni Peleg, Jeffre...
AAAI
2008
15 years 9 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
PGLDB
2003
129views Database» more  PGLDB 2003»
15 years 8 months ago
Towards a Plan-based Learning Environment
The use of the Plan Recognition/Plan Generation paradigm in the context of corporate training is discussed. The learning environment is grounded on three-level conceptual schemas ...
Angelo E. M. Ciarlini, Antonio L. Furtado
AAAI
1994
15 years 7 months ago
Inducing Deterministic Prolog Parsers from Treebanks: A Machine Learning Approach
or untagged treebanks. ' When trained on an untagged This paper presents a method for constructing deterministic Prolog parsers from corpora of parsed sentences. Our approach ...
John M. Zelle, Raymond J. Mooney
AAAI
1990
15 years 7 months ago
Integrating, Execution, Planning, and Learning in Soar for External Environments
Three key components of an autonomous intelligent system are planning, execution, and learning. This paper describes how the Soar architecture supports planning, execution, and le...
John E. Laird, Paul S. Rosenbloom