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» Intelligent Optimization via Learnable Evolution Model
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AAAI
2010
13 years 8 months ago
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
KI
2009
Springer
14 years 1 months ago
Surrogate Constraint Functions for CMA Evolution Strategies
Many practical optimization problems are constrained black boxes. Covariance Matrix Adaptation Evolution Strategies (CMA-ES) belong to the most successful black box optimization me...
Oliver Kramer, André Barthelmes, Günte...
EVOW
2006
Springer
13 years 11 months ago
On Interactive Evolution Strategies
Abstract. In this paper we discuss Evolution Strategies within the context of interactive optimization. Different modes of interaction will be classified and compared. A focus will...
Ron Breukelaar, Michael Emmerich, Thomas Bäck
TSP
2010
13 years 2 months ago
Optimality of beamforming for MIMO multiple access channels via virtual representation
In this paper, we consider the optimality of beamforming for achieving the ergodic capacity of multiple-input multiple-output (MIMO) multiple access channel (MAC) via virtual repre...
Hong Wan, Rong-Rong Chen, Yingbin Liang
GECCO
2010
Springer
194views Optimization» more  GECCO 2010»
14 years 4 days ago
Fitting multi-planet transit models to photometric time-data series by evolution strategies
In this paper we present the application of an evolution strategy to the problem of detecting multi-planet transit events in photometric time-data series. Planetary transits occur...
Andreas M. Chwatal, Günther R. Raidl, Michael...