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GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 3 months ago
An autonomous explore/exploit strategy
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
Alex McMahon, Dan Scott, William N. L. Browne
AIIDE
2007
14 years 8 days ago
Automatic Rule Ordering for Dynamic Scripting
The goal of adaptive game AI is to enhance computercontrolled game-playing agents with (1) the ability to selfcorrect mistakes, and (2) creativity in responding to new situations....
Timor Timuri, Pieter Spronck, H. Jaap van den Heri...
AIED
2009
Springer
14 years 4 months ago
Interactive Paraphrase Training: The Development and Testing of an iSTART Module
Comprehension of science texts is challenging, particularly when the reader lacks the skills or knowledge necessary to fill in conceptual gaps in the text content. The iSTART syste...
Danielle S. McNamara, Chutima Boonthum, Christophe...
CORR
2010
Springer
68views Education» more  CORR 2010»
13 years 10 months ago
Is It Real, or Is It Randomized?: A Financial Turing Test
We construct a financial "Turing test" to determine whether human subjects can differentiate between actual vs. randomized financial returns. The experiment consists of ...
Jasmina Hasanhodzic, Andrew W. Lo, Emanuele Viola
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
14 years 4 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden