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ECML
2006
Springer
15 years 5 months ago
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
Scott Proper, Prasad Tadepalli
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
15 years 7 months ago
Visual Feature Space Analysis for Unsupervised Effectiveness Estimation and Feature Engineering
The Feature Vector approach is one of the most popular schemes for managing multimedia data. For many data types such as audio, images, or 3D models, an abundance of different Fea...
Tobias Schreck, Daniel A. Keim, Christian Panse
PPOPP
2005
ACM
15 years 7 months ago
A novel approach for partitioning iteration spaces with variable densities
Efficient partitioning of parallel loops plays a critical role in high performance and efficient use of multiprocessor systems. Although a significant amount of work has been don...
Arun Kejariwal, Alexandru Nicolau, Utpal Banerjee,...
TOPNOC
2008
15 years 1 months ago
Assessing State Spaces Using Petri-Net Synthesis and Attribute-Based Visualization
State spaces are commonly used representations of system behavior. A state space may be derived from a model of system behavior but can also be obtained through process mining. For...
H. M. W. (Eric) Verbeek, A. Johannes Pretorius, Wi...
GECCO
2011
Springer
261views Optimization» more  GECCO 2011»
14 years 5 months ago
Spacing memetic algorithms
We introduce the Spacing Memetic Algorithm (SMA), a formal evolutionary model devoted to a systematic control of spacing (distances) among individuals. SMA uses search space dista...
Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz