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AAMAS
2007
Springer
13 years 11 months ago
Networks of Learning Automata and Limiting Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
Peter Vrancx, Katja Verbeeck, Ann Nowé
ATAL
2011
Springer
12 years 5 months ago
Using iterated reasoning to predict opponent strategies
The field of multiagent decision making is extending its tools from classical game theory by embracing reinforcement learning, statistical analysis, and opponent modeling. For ex...
Michael Wunder, Michael Kaisers, John Robert Yaros...
ICANN
2010
Springer
13 years 5 months ago
Multi-Dimensional Deep Memory Atari-Go Players for Parameter Exploring Policy Gradients
Abstract. Developing superior artificial board-game players is a widelystudied area of Artificial Intelligence. Among the most challenging games is the Asian game of Go, which, des...
Mandy Grüttner, Frank Sehnke, Tom Schaul, J&u...
CHI
2008
ACM
14 years 5 months ago
It's Mine, Don't Touch!: interactions at a large multi-touch display in a city centre
We present data from detailed observations of CityWall, a large multi-touch display installed in a central location in Helsinki, Finland. During eight days of installation, 1199 p...
Peter Peltonen, Esko Kurvinen, Antti Salovaara, Gi...
ER
2006
Springer
96views Database» more  ER 2006»
13 years 9 months ago
Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling
: Data Provenance refers to the lineage of data including its origin, key events that occur over the course of its lifecycle, and other details associated with data creation, proce...
Sudha Ram, Jun Liu