13827 search results - page 364 / 2766 » The state of artificial intelligence |
195
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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...
169
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ECAI
2008
Springer
15 years 8 months ago
2008
Springer
In many practical reinforcement learning problems, the state space is too large to permit an exact representation of the value function, much less the time required to compute it. ...
182
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APN
2003
Springer
16 years 5 hour ago
2003
Springer
CPN Tools is a tool for editing, simulating and analysing Coloured Petri Nets. The GUI is based on advanced interaction techniques, such as toolglasses, marking menus, and bi-manua...
183
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TVLSI
2010
15 years 1 months ago
2010
To efficiently analyze the large-scale interconnect dominant circuits with inductive couplings (mutual inductances), this paper introduces a new state matrix, called VNA, to stamp ...
