3412 search results - page 240 / 683 » Efficient Reinforcement Learning |
145
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PKDD
2010
Springer
15 years 3 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
150
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ICML
2000
IEEE
16 years 6 months ago
2000
IEEE
Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only statistics-inspired measures of the data as a sou...
152
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COLT
1995
Springer
15 years 9 months ago
1995
Springer
In this paper, we study PAC-leaming algorithms for specialized classes of deterministic finite automata (DFA). Inpartictdar, we study branchingprogrsms, and we investigate the int...
155
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HICSS
2003
IEEE
15 years 11 months ago
2003
IEEE
Basically, instrumental conditioning is learning through consequences: Behavior that produces positive results (high “instrumental response”) is reinforced, and that which pro...
148
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ICML
2005
IEEE
16 years 6 months ago
2005
IEEE
Several algorithms for learning near-optimal policies in Markov Decision Processes have been analyzed and proven efficient. Empirical results have suggested that Model-based Inter...