4544 search results - page 431 / 909 » Reinforcement Learning with Time |
160
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NIPS
1993
15 years 6 months ago
1993
Stochastic optimization algorithms typically use learning rate schedules that behave asymptotically as (t) = 0=t. The ensemble dynamics (Leen and Moody, 1993) for such algorithms ...
128
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AMAI
1999
Springer
15 years 4 months ago
1999
Springer
This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...
125
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CVPR
2006
IEEE
16 years 7 months ago
2006
IEEE
An activity consists of an actor performing a series of actions in a pre-defined temporal order. An action is an individual atomic unit of an activity. Different instances of the ...
133
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ALT
2004
Springer
16 years 2 months ago
2004
Springer
In this paper we introduce a paradigm for learning in the limit of potentially infinite languages from all positive data and negative counterexamples provided in response to the ...
171
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IJCAI
2007
15 years 6 months ago
2007
A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. It is commonly asserted that in order to ...