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CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
15 years 1 months ago
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Naresh N. Nandola, Daniel E. Rivera
177
Voted
SASO
2008
IEEE
16 years 22 days ago
Self-Adaptive Dissemination of Data in Dynamic Sensor Networks
The distribution of data in large dynamic wireless sensor networks presents a difficult problem due to node mobility, link failures, and traffic congestion. In this paper, we pr...
David Dorsey, Bjorn Jay Carandang, Moshe Kam, Chri...
165
Voted
GECCO
2009
Springer
16 years 28 days ago
On the scalability of XCS(F)
Many successful applications have proven the potential of Learning Classifier Systems and the XCS classifier system in particular in datamining, reinforcement learning, and func...
Patrick O. Stalph, Martin V. Butz, David E. Goldbe...
212
Voted
ECML
2007
Springer
15 years 10 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
CORR
2010
Springer
133views Education» more  CORR 2010»
15 years 6 months ago
Computational efficiency of fractional diffusion using adaptive time step memory
Abstract: Numerical solutions to fractional differential equations can be extremely computationally intensive due to the effect of non-local derivatives in which all previous time ...
Brian P. Sprouse, Christopher L. MacDonald, Gabrie...