231 search results - page 23 / 47 » Active Learning in Partially Observable Markov Decision Proc... |
159
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
We consider the problem of energy-efficient point-to-point transmission of delay-sensitive data (e.g. multimedia data) over a fading channel. We propose a rigorous and unified fra...
127
Voted
ECML
2007
Springer
15 years 10 months ago
2007
Springer
We present Policy Gradient Actor-Critic (PGAC), a new model-free Reinforcement Learning (RL) method for creating limited-memory stochastic policies for Partially Observable Markov ...
135
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ATAL
2007
Springer
15 years 7 months ago
2007
Springer
This paper extends the framework of dynamic influence diagrams (DIDs) to the multi-agent setting. DIDs are computational representations of the Partially Observable Markov Decisio...
174
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ACL
2010
15 years 1 months ago
2010
Open-ended spoken interactions are typically characterised by both structural complexity and high levels of uncertainty, making dialogue management in such settings a particularly...
143
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ICMLA
2004
15 years 5 months ago
2004
Predictive state representation (PSR) models for controlled dynamical systems have recently been proposed as an alternative to traditional models such as partially observable Mark...