1753 search results - page 146 / 351 » State Machines |
126
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ICML
2003
IEEE
16 years 5 months ago
2003
IEEE
Hierarchical reinforcement learning is a general framework which attempts to accelerate policy learning in large domains. On the other hand, policy gradient reinforcement learning...
137
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IEEEPACT
2003
IEEE
15 years 9 months ago
2003
IEEE
In Thread-Level Speculation (TLS), speculative tasks generate memory state that cannot simply be combined with the rest of the system because it is unsafe. One way to deal with th...
181
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ARCSF
2008
15 years 6 months ago
2008
Abstract-- Affective information is vital for effective human-tohuman communication. Likewise, human-to-computer communication could be potentiated by an "affective barometer&...
325
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BICA
2010
14 years 11 months ago
2010
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
133
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ISLPED
2003
ACM
15 years 9 months ago
2003
ACM
The power consumption of a sequential circuit can be reduced by decomposing it into subcircuits which can be turned off when inactive. Power can also be reduced by careful state e...