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NIPS
1994
13 years 10 months ago
Finding Structure in Reinforcement Learning
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
Sebastian Thrun, Anton Schwartz
CORR
2006
Springer
127views Education» more  CORR 2006»
13 years 8 months ago
Post-Processing Hierarchical Community Structures: Quality Improvements and Multi-scale View
Dense sub-graphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Most existing community detection algori...
Pascal Pons
VL
1997
IEEE
151views Visual Languages» more  VL 1997»
14 years 11 days ago
A Structured Interactive Workspace for a Visual Configuration Language
This paper shows how language technologies such as the automatic generation of parsers for analyzing user actions and visual parsing can be applied to build a flexible tool specia...
Jean-Yves Vion-Dury, François Pacull
IWEC
2004
13 years 10 months ago
From Artistry to Automation: A Structured Methodology for Procedural Content Creation
Procedural techniques will soon automate many aspects of content creation for computer games. We describe an efficient, deterministic, methodology for procedurally generating 3D ga...
Timothy Roden, Ian Parberry
VISSYM
2004
13 years 10 months ago
Software Landscapes: Visualizing the Structure of Large Software Systems
Modern object-oriented programs are hierarchical systems with many thousands of interrelated subsystems. Visualization helps developers to better comprehend these large and comple...
Michael Balzer, Andreas Noack, Oliver Deussen, Cla...