2990 search results - page 397 / 598 » Hidden Markov processes |
176
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IROS
2006
IEEE
16 years 18 days ago
2006
IEEE
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
190
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IAT
2005
IEEE
16 years 6 days ago
2005
IEEE
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
153
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SARA
2005
Springer
16 years 2 days ago
2005
Springer
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
149
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HICSS
2003
IEEE
15 years 12 months ago
2003
IEEE
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent environments. We use the...
164
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CPE
2003
Springer
15 years 11 months ago
2003
Springer
We describe the main features of SmArT, a software package providing a seamless environment for the logic and probabilistic analysis of complex systems. SmArT can combine differen...