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» Learning Character Behaviors Using Agent Modeling in Games
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ATAL
2005
Springer
15 years 5 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
LRE
2006
175views more  LRE 2006»
14 years 11 months ago
Automatically generating related queries in Japanese
Web searchers reformulate their queries, as they adapt to search engine behavior, learn more about a topic, or simply correct typing errors. Automatic query rewriting can help user...
Rosie Jones, Kevin Bartz, Pero Subasic, Benjamin R...
AGI
2011
14 years 3 months ago
Learning Problem Solving Skills from Demonstration: An Architectural Approach
We present an architectural approach to learning problem solving skills from demonstration, using internal models to represent problem-solving operational knowledge. Internal forwa...
Haris Dindo, Antonio Chella, Giuseppe La Tona, Mon...
SIGMETRICS
2010
ACM
208views Hardware» more  SIGMETRICS 2010»
15 years 4 months ago
Dynamics in congestion games
Game theoretic modeling and equilibrium analysis of congestion games have provided insights in the performance of Internet congestion control, road transportation networks, etc. D...
Devavrat Shah, Jinwoo Shin
ATAL
2008
Springer
15 years 1 months ago
A statistical relational model for trust learning
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
Achim Rettinger, Matthias Nickles, Volker Tresp