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» Automatic shaping and decomposition of reward functions
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ICML
2007
IEEE
14 years 5 months ago
Automatic shaping and decomposition of reward functions
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
Bhaskara Marthi
GPEM
2008
128views more  GPEM 2008»
13 years 5 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood
IPMI
2005
Springer
14 years 5 months ago
3D Active Shape Models Using Gradient Descent Optimization of Description Length
Abstract. Active Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches ha...
Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-...
CGF
2011
12 years 8 months ago
Procedural Modeling of Interconnected Structures
The complexity and detail of geometric scenes that are used in today’s computer animated films and interactive games have reached a level where the manual creation by tradition...
Lars Krecklau, Leif Kobbelt