1981 search results - page 156 / 397 » The State of Change: A Survey |
183
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CDC
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
186
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JIPS
2010
15 years 1 months ago
2010
Wireless sensor networks consist of sensor nodes which are expected to be battery-powered and are hard to replace or recharge. Thus, reducing the energy consumption of sensor nodes...
212
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JMLR
2010
15 years 1 months ago
2010
In this paper, we propose a novel adaptive step-size approach for policy gradient reinforcement learning. A new metric is defined for policy gradients that measures the effect of ...
266
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CAISE
2011
Springer
14 years 10 months ago
2011
Springer
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
168
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FOSSACS
2005
Springer
16 years 10 hour ago
2005
Springer
Nominal calculi have been shown very effective to formally model a variety of computational phenomena. The models of nominal calculi have often infinite states, thus making model ...