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146
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COLT
2006
Springer
15 years 8 months ago
2006
Springer
In this paper, we study a sequential decision making problem. The objective is to maximize the total reward while satisfying constraints, which are defined at every time step. The...
143
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ICML
1994
IEEE
15 years 8 months ago
1994
IEEE
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
170
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ECTEL
2008
Springer
15 years 6 months ago
2008
Springer
Modeling the cognitive processes of learners is fundamental to build educational software that are autonomous and that can provide highly tailored assistance during learning [3]. F...
146
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DAGSTUHL
2004
15 years 5 months ago
2004
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
151
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FLAIRS
2004
15 years 5 months ago
2004
Machine learning (ML) is often used to obtain control knowledge to improve planning efficiency. Usually, ML techniques are used in isolation from experience that could be obtained...