We analyzed texts from years 1800-2004 from the Philosophical Transactions of the Royal Society of London. Two-thousand-word sections from about 20 articles published at 25-year i...
Michell Bruss, Michael J. Albers, Danielle McNamer...
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
For many years now, there is a growing interest around ROC curve for characterizing machine learning performances. This is particularly due to the fact that in real-world problems ...
The Semantic Web is intended for knowledge sharing among agents as well as humans. To achieve this goal, Ontologies, which express knowledge in a certain vitality as well as in a ...
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...