2011 search results - page 245 / 403 » Universal Reinforcement Learning |
159
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ICALT
2006
IEEE
15 years 11 months ago
2006
IEEE
All books entitled “Learn … with 1000 exercises” have in common the same basic principle. They aim to supply enough material to students so that they may better understand t...
138
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ICML
1994
IEEE
15 years 8 months ago
1994
IEEE
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
149
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ATAL
2008
Springer
15 years 7 months ago
2008
Springer
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
167
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NIPS
2001
15 years 6 months ago
2001
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
153
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ML
2000
ACM
15 years 4 months ago
2000
ACM
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...