5860 search results - page 389 / 1172 » Learning and Domain Adaptation |
162
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ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
174
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ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
167
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AIED
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. The nature of the activities that take place in Exploratory Learning Environments allow generating a variety of learner trajectories and makes difficult to develop a mod...
157
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ITS
1998
Springer
15 years 11 months ago
1998
Springer
This paper describes a method for learner modelling for use within simulation-based learning environments. The goal of the learner modelling system is to provide the learner with a...
166
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ACMICEC
2007
ACM
15 years 10 months ago
2007
ACM
This paper introduces algorithms for learning how to trade using insider (superior) information in Kyle's model of financial markets. Prior results in finance theory relied o...