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96
Voted
AR
2007
15 years 23 days ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
103
Voted
JMLR
2010
14 years 7 months ago
2010
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
109
Voted
GECCO
2006
Springer
15 years 4 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
90
Voted
IJCNN
2008
IEEE
15 years 7 months ago
2008
IEEE
— Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...
94
Voted
ICML
1991
IEEE
15 years 4 months ago
1991
IEEE
The psychological literature on stages of cognitive development was reviewed and found to contain support for the idea that stages represent ordinal, qualitative changes in organi...