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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 4 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
EUROCOLT
1999
Springer
15 years 4 months ago
Learning Range Restricted Horn Expressions
We study the learnability of first order Horn expressions from equivalence and membership queries. We show that the class of expressions where every term in the consequent of a c...
Roni Khardon
FLAIRS
2009
14 years 9 months ago
Mapping Grounded Object Properties across Perceptually Heterogeneous Embodiments
As robots become more common, it becomes increasingly useful for them to communicate and effectively share knowledge that they have learned through their individual experiences. L...
Zsolt Kira
ICALT
2008
IEEE
15 years 6 months ago
NUCLEO: Adaptive Computer Supported Collaborative Learning in a Role Game Based Scenario
This paper presents the adaptation model used in NUCLEO, a pilot e-learning environment that is currently being developed at the Complutense University of Madrid. The NUCLEO syste...
Pilar Sancho, Rubén Fuentes-Fernánde...
ECTEL
2007
Springer
15 years 6 months ago
LOCO-Analyst: A Tool for Raising Teachers' Awareness in Online Learning Environments
The paper presents LOCO-Analyst, an educational tool for providing teachers with feedback on the relevant aspects of the learning process taking place in a web-based learning envir...
Jelena Jovanovic, Dragan Gasevic, Christopher A. B...