4544 search results - page 299 / 909 » Reinforcement Learning with Time |
133
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COLT
1994
Springer
15 years 8 months ago
1994
Springer
: Sequential algorithms given by Angluin 1987 and Schapire 1992 learn deterministic nite automata DFA exactly from Membership and Equivalence queries. These algorithms are feasible...
125
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ACCV
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. We propose an online learning algorithm to tackle the problem of learning under limited computational resources in a teacher-student scenario, over multiple visual cues. ...
116
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
142
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ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
122
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GECCO
2004
Springer
15 years 9 months ago
2004
Springer
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...