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124
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AAAI
2008
15 years 6 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
151
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ATAL
2010
Springer
15 years 4 months ago
2010
Springer
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
139
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ICASSP
2009
IEEE
15 years 11 months ago
2009
IEEE
We propose a convex optimization method for maximum likelihood estimation of autoregressive models, subject to conditional independence constraints. This problem is an extension t...
159
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IEAAIE
2009
Springer
15 years 11 months ago
2009
Springer
Nowadays, some process information is represented by a process model. To understand process executed in many activities, process mining technologies are now extensively studied to...
125
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NIPS
2007
15 years 5 months ago
2007
Bayesian models of multisensory perception traditionally address the problem of estimating an underlying variable that is assumed to be the cause of the two sensory signals. The b...