1310 search results - page 199 / 262 » Progressive Optimization in Action |
196
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UAI
2008
15 years 7 months ago
2008
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
222
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AI
1998
Springer
15 years 5 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
160
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PE
2002
Springer
15 years 5 months ago
2002
Springer
The study presented in this paper is motivated by the performance analysis of response times in distributed information systems, where transactions are handled by iterative server...
239
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PAMI
2007
15 years 5 months ago
2007
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
186
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TMC
2010
15 years 4 months ago
2010
— In Wireless Sensor and Actor Networks (WSANs), the collaborative operation of sensors enables the distributed sensing of a physical phenomenon, while actors collect and process...