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ILP
2003
Springer
14 years 22 days ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon
I3D
2010
ACM
14 years 4 months ago
Cascaded Light Propagation Volumes for Real-Time Indirect Illumination
This paper introduces a new scalable technique for approximating indirect illumination in fully dynamic scenes for real-time applications, such as video games. We use lattices and...
Anton Kaplanyan, Carsten Dachsbacher
GECCO
2006
Springer
141views Optimization» more  GECCO 2006»
13 years 11 months ago
Coevolution of neural networks using a layered pareto archive
The Layered Pareto Coevolution Archive (LAPCA) was recently proposed as an effective Coevolutionary Memory (CM) which, under certain assumptions, approximates monotonic progress i...
German A. Monroy, Kenneth O. Stanley, Risto Miikku...
WWW
2005
ACM
14 years 8 months ago
The volume and evolution of web page templates
Web pages contain a combination of unique content and template material, which is present across multiple pages and used primarily for formatting, navigation, and branding. We stu...
David Gibson, Kunal Punera, Andrew Tomkins
LICS
2006
IEEE
14 years 1 months ago
Managing Digital Rights using Linear Logic
Digital music players protect songs by enforcing licenses that convey specific rights for individual songs or groups of songs. For licenses specified in industry, we show that d...
Adam Barth, John C. Mitchell