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FUZZIEEE
2007
IEEE
16 years 1 months ago
2007
IEEE
— The real time flexible operation of a car-like mobile robot with nonholonomic constraints in dynamic environment is still a very challenging problem. The difficulty lies in t...
158
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FUZZIEEE
2007
IEEE
16 years 1 months ago
2007
IEEE
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
183
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LICS
2007
IEEE
16 years 1 months ago
2007
IEEE
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. The payoff received by the controller can be evaluated in different ways, dep...
201
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CONCUR
2007
Springer
16 years 1 months ago
2007
Springer
The model checking problem for finite-state open systems (module checking) has been extensively studied in the literature, both in the context of environments with perfect and imp...
183
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STACS
2007
Springer
16 years 29 days ago
2007
Springer
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. Performances of an MDP are evaluated by a payoff function. The controller of ...