2178 search results - page 228 / 436 » Problems of learning in multi-agent systems |
148
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SMC
2007
IEEE
15 years 11 months ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
142
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IJCAI
2001
15 years 6 months ago
2001
Consider a supervised learning problem in which examples contain both numerical- and text-valued features. To use traditional featurevector-based learning methods, one could treat...
137
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ECML
2006
Springer
15 years 8 months ago
2006
Springer
Minimum volume covering ellipsoid estimation is important in areas such as systems identification, control, video tracking, sensor management, and novelty detection. It is well kno...
176
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AI
2006
Springer
15 years 5 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
141
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ICRA
2007
IEEE
15 years 11 months ago
2007
IEEE
— Map learning is a fundamental task in mobile robotics because maps are required for a series of high level applications. In this paper, we address the problem of building maps ...