4930 search results - page 238 / 986 » Learning minimal abstractions |
178
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EUROCOLT
1995
Springer
15 years 10 months ago
1995
Springer
k. The model we study can be interpreted as a broad, abstract extension of the well-studied on-line prediction model to a general decision-theoretic setting. We show that the multi...
202
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CEC
2008
IEEE
15 years 8 months ago
2008
IEEE
Abstract-- In this paper we investigate the effects of individual learning on an evolving population of situated agents. We work with a novel type of system where agents can decide...
185
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AIIDE
2006
15 years 8 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
148
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CLIMA
2004
15 years 8 months ago
2004
Abstract. This paper deals with the issue of learning in multi-agent systems (MAS). Particularly, we are interested in BDI (Belief, Desire, Intention) agents. Despite the relevance...
192
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JUCS
2008
15 years 6 months ago
2008
Abstract: Adaptive behavior and learning are required of software agents in many application domains. At the same time agents are often supposed to be resource-bounded systems, whi...