2750 search results - page 150 / 550 » The complexity of learning SUBSEQ(A) |
176
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AAMAS
2007
Springer
15 years 7 months ago
2007
Springer
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
185
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JCP
2007
15 years 6 months ago
2007
Abstract— This paper presents i-AA1 , a constructive, incremental learning algorithm for a special class of weightless, self-organizing networks. In i-AA1 , learning consists of ...
180
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SIGCSE
2002
ACM
15 years 6 months ago
2002
ACM
Most courses on Discrete Mathematics are designed to emphasize problem solving, in general. When the goal is to cover the content, the learning and understanding takes a second pl...
148
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TNN
1998
15 years 6 months ago
1998
— In this paper, we study a qualitative property of a class of competitive learning (CL) models, which is called the multiplicatively biased competitive learning (MBCL) model, na...
152
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ICONIP
2009
15 years 4 months ago
2009
Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...