2103 search results - page 190 / 421 » Approximate Learning of Dynamic Models |
176
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WECWIS
2005
IEEE
15 years 11 months ago
2005
IEEE
This paper studies adaptive bilateral negotiation between software agents in e-commerce environments. Specifically, we assume that the agents are self-interested, the environment...
156
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
This paper concerns the experimental assessment of tempering as a technique for improving Bayesian inference for C&RT models. Full Bayesian inference requires the computation ...
166
Voted
IJCAI
2007
15 years 7 months ago
2007
Programming a humanoid robot to walk is a challenging problem in robotics. Traditional approaches rely heavily on prior knowledge of the robot's physical parameters to devise...
172
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IJON
1998
15 years 5 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
161
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AAAI
2010
15 years 7 months ago
2010
Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...