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CEEMAS
2003
Springer
14 years 1 months ago
On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diļ¬...
Karl Tuyls, Katja Verbeeck, Sam Maes
ATAL
2008
Springer
13 years 10 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
ACL
2011
13 years 10 days ago
Learning to Win by Reading Manuals in a Monte-Carlo Framework
This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal i...
S. R. K. Branavan, David Silver, Regina Barzilay
FLAIRS
2004
13 years 10 months ago
Automatic Creation of Contextual Knowledge in Simulated Agents
Modeling human behavior can be complicated and expensive. To be able to reduce costs, new methodologies and tools must be developed that automate the creation of human behavior mo...
Hans Fernlund, Avelino J. Gonzalez
AGENTS
1997
Springer
14 years 26 days ago
Adaptation and Learning in Animated Creatures
This paper is concerned with synthetic agents interacting with virtual environments, called animated creatures. The animated creatures are articulated graphical gures that are eq...
Jiming Liu, Hong Qin, Yuan Yan Tang, Y. T. Wu