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ECML
2007
Springer
13 years 11 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
BMCBI
2008
214views more  BMCBI 2008»
13 years 8 months ago
Accelerating String Set Matching in FPGA Hardware for Bioinformatics Research
Background: This paper describes techniques for accelerating the performance of the string set matching problem with particular emphasis on applications in computational proteomic...
Yoginder S. Dandass, Shane C. Burgess, Mark Lawren...
ICML
2008
IEEE
14 years 8 months ago
Efficiently learning linear-linear exponential family predictive representations of state
Exponential Family PSR (EFPSR) models capture stochastic dynamical systems by representing state as the parameters of an exponential family distribution over a shortterm window of...
David Wingate, Satinder P. Singh
COLING
1994
13 years 9 months ago
Two Parsing Algorithms by Means of Finite State Transducers
We present a new apl)roach , ilhlstrated by two algorithms> for parsing not only Finite SI.ate (:Iranlnlars but also Context Free Grainlnars and their extension, by means of fi...
Emmanuel Roche
PTS
1993
91views Hardware» more  PTS 1993»
13 years 9 months ago
Generating Tests for Control Portion of SDL Specifications
The signal SAVE construct is one of the features distinguishing SDL from convent specification and programming languages. On the other hand, this feature increase testing SDL-spec...
Gang Luo, Anindya Das, Gregor von Bochmann