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» Learning to Solve QBF
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IDEAL
2007
Springer
15 years 9 months ago
Skill Combination for Reinforcement Learning
Recently researchers have introduced methods to develop reusable knowledge in reinforcement learning (RL). In this paper, we define simple principles to combine skills in reinforce...
Zhihui Luo, David A. Bell, Barry McCollum
132
Voted
ALIFE
2010
15 years 2 months ago
Modeling Social Learning of Language and Skills
We present a model of social learning of both language and skills, while assuming—insofar as possible—strict autonomy, virtual embodiment, and situatedness. This model is built...
Paul Vogt, Evert Haasdijk
140
Voted
ALT
2004
Springer
16 years 18 days ago
Convergence of a Generalized Gradient Selection Approach for the Decomposition Method
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
Nikolas List
113
Voted
CEC
2005
IEEE
15 years 9 months ago
Relationships between internal and external metrics in co-evolution
Co-evolutionary algorithms (CEAs) have been applied to optimization and machine learning problems with often mediocre results. One of the causes for the unfulfilled expectations i...
Elena Popovici, Kenneth A. De Jong
138
Voted
IJVR
2008
125views more  IJVR 2008»
15 years 3 months ago
The Virtual Instructor Intervention: A Case in LEGO Robotics
Solving robotic exercises is a difficult task for students because the modeling activity involved requires students to comprehend programming, robotic design concepts as well as ba...
Pauline H. Mosley, Jayfus T. Doswell