1991 search results - page 144 / 399 » Small Models of Large Machines |
165
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ICML
2009
IEEE
16 years 6 months ago
2009
IEEE
In a dynamic social or biological environment, interactions between the underlying actors can undergo large and systematic changes. Each actor can assume multiple roles and their ...
158
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ICML
2009
IEEE
16 years 6 months ago
2009
IEEE
In this paper, we extend the Hilbert space embedding approach to handle conditional distributions. We derive a kernel estimate for the conditional embedding, and show its connecti...
132
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ICML
2008
IEEE
16 years 6 months ago
2008
IEEE
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
155
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ICML
2001
IEEE
16 years 6 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...
151
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ECML
2007
Springer
15 years 11 months ago
2007
Springer
Abstract. Active Learning methods rely on static strategies for sampling unlabeled point(s). These strategies range from uncertainty sampling and density estimation to multi-factor...