923 search results - page 46 / 185 » Requirements for Machine Lifelong Learning |
106
Voted
AIIDE
2006
15 years 2 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
88
Voted
GECCO
2005
Springer
15 years 6 months ago
2005
Springer
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
115
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EUROCOLT
1999
Springer
15 years 5 months ago
1999
Springer
Abstract. Recent works have shown the advantage of using Active Learning methods, such as the Query by Committee (QBC) algorithm, to various learning problems. This class of Algori...
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. Active learning algorithms attempt to accelerate the learning process by requesting labels for the most informative items first. In real-world problems, however, there ma...
ICML
2000
IEEE
16 years 1 months ago
2000
IEEE
This paper investigates how behavioral cloning can be used to decrease training time for students learning to y on simulators. The challenges presented to each student must be tai...