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NECO
2007
87views more  NECO 2007»
15 years 1 months ago
Reinforcement Learning State Estimator
cal networks in the learning of abstract and effector-specific representations of motor sequences. Neuroimage. 32, 714-727. (Neuroimage Editor’s Choice Award, 2006) Daw, N. D. Do...
Jun Morimoto, Kenji Doya
95
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AAAI
1994
15 years 3 months ago
Learning to Explore and Build Maps
Using the methods demonstrated in this paper, a robot with an unknown sensorimotor system can learn sets of features and behaviors adequate to explore a continuous environment and...
David Pierce, Benjamin Kuipers
PUC
2008
116views more  PUC 2008»
15 years 1 months ago
Prototypical implementation of location-aware services based on a middleware architecture for super-distributed RFID tag infrast
of the hardware abstraction layer and of selected core middleware services. The latter enable a mobile device to store and retrieve data and position information in physical places...
Jürgen Bohn
CDC
2009
IEEE
168views Control Systems» more  CDC 2009»
15 years 6 months ago
Balanced state-space representations: a polynomial algebraic approach
Abstract— We show how to compute a minimal Riccatibalanced state map and a minimal Riccati-balanced state space representation starting from an image representation of a strictly...
Paolo Rapisarda, Harry L. Trentelman
ICCD
1993
IEEE
124views Hardware» more  ICCD 1993»
15 years 6 months ago
Synthesis of Controllers from Interval Temporal Logic Specification
for a state machine which is an abstraction for an existing sequential circuit, which can be useful for redesign or engineering change. The generated state machines can be further ...
Masahiro Fujita, Shinji Kono