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AAAI
1997
14 years 10 days ago
Reinforcement Learning with Time
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
Daishi Harada
ENTCS
2006
116views more  ENTCS 2006»
13 years 11 months ago
Stepwise Refinement of Processes
Industry is looking to create a market in reliable "plug-and-play" components. To model components in a modular style it would be useful to combine event-based and state...
Steve Reeves, David Streader
COGSCI
2004
80views more  COGSCI 2004»
13 years 10 months ago
Reinstatement, floating conclusions, and the credulity of Mental Model reasoning
Johnson-Laird and coworkers' Mental Model theory of propositional reasoning is shown to be somewhere in between what logicians have defined as "credulous" and "...
Jean-François Bonnefon
COLING
2002
13 years 10 months ago
A Complete Integrated NLG System Using AI and NLU Tools
A standard architecture for an NLG system has been defined in (Reiter and Dale, 2000). Their work describes the modularization of an NLG system and the tasks of each module. Howev...
Laurence Danlos, Adil El Ghali
JETAI
2010
56views more  JETAI 2010»
13 years 9 months ago
Warning: statistical benchmarking is addictive. Kicking the habit in machine learning
Algorithm performance evaluation is so entrenched in the Machine Learning community that one could call it an addiction. Like most addictions, it is harmful and very difficult to ...
Chris Drummond, Nathalie Japkowicz