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IJCAI
1993
14 years 11 months ago
Genetic State-Space Search for Constrained Optimization Problems
This paper introduces GSSS (Genetic State-Space Search). The integration of two general search paradigms — genetic search and state-space-search provides a general framework whi...
Jan Paredis
EVOW
2008
Springer
14 years 12 months ago
Composing Music with Neural Networks and Probabilistic Finite-State Machines
In this paper, biological (human) music composition systems based on Time Delay Neural Networks and Ward Nets and on a probabilistic Finite-State Machine will be presented. The sys...
Tomasz Michal Oliwa, Markus Wagner
HYBRID
2009
Springer
15 years 4 months ago
On Event Based State Estimation
To reduce the amount of data transfer in networked control systems and wireless sensor networks, measurements are usually taken only when an event occurs, rather than at each synch...
Joris Sijs, Mircea Lazar
108
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ECML
2007
Springer
15 years 2 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
ICASSP
2011
IEEE
14 years 1 months ago
Stochastic transceiver design in multi-antenna channels with statistical channel state information
The problem of stochastic robust sum mean square error (MSE) minimization transceiver design is addressed for multiple-input multiple-output (MIMO) broadcast channels (BCs). The t...
Andreas Gründinger, Michael Joham, Wolfgang U...