252 search results - page 26 / 51 » Learning Partially Observable Action Models: Efficient Algor... |
146
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HICSS
2003
IEEE
15 years 8 months ago
2003
IEEE
This paper uses partially observable Markov decision processes (POMDP’s) as a basic framework for MultiAgent planning. We distinguish three perspectives: first one is that of a...
133
Voted
JAIR
2002
15 years 2 months ago
2002
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
118
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
This paper develops a generalized apprenticeship learning protocol for reinforcementlearning agents with access to a teacher who provides policy traces (transition and reward obse...
111
Voted
PKDD
2010
Springer
15 years 15 days ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
112
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AAAI
2010
15 years 4 months ago
2010
Plan recognition is the problem of inferring the goals and plans of an agent after observing its behavior. Recently, it has been shown that this problem can be solved efficiently,...