380 search results - page 24 / 76 » Models of active learning in group-structured state spaces |
109
Voted
ICML
1999
IEEE
15 years 10 months ago
1999
IEEE
ing from Robot Sensor Data using Hidden Markov Models Laura Firoiu, Paul Cohen Computer Science Department, LGRC University of Massachusetts at Amherst, Box 34610 Amherst, MA 01003...
141
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CAISE
2011
Springer
14 years 1 months ago
2011
Springer
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
101
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EWRL
2008
14 years 11 months ago
2008
We consider reinforcement learning in the parameterized setup, where the model is known to belong to a parameterized family of Markov Decision Processes (MDPs). We further impose ...
93
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FLAIRS
2008
14 years 12 months ago
2008
Although several researchers have integrated methods for reinforcement learning (RL) with case-based reasoning (CBR) to model continuous action spaces, existing integrations typic...
FM
2003
Springer
15 years 2 months ago
2003
Springer
We present two instantiations of generic Interactive State Machines (ISMs) with mobility features which are useful for modeling and verifying dynamically changing mobile systems. I...