878 search results - page 21 / 176 » Learning to Control in Operational Space |
153
Voted
TSMC
2008
15 years 2 months ago
2008
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
104
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ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Spacecraft increasingly employ onboard data analysis to inform further data collection and prioritization decisions. However, many spacecraft operate in high-radiation environment...
137
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CBMS
2006
IEEE
15 years 9 months ago
2006
IEEE
The growing availability of high throughput measurement devices in the operating room makes possible the collection of a huge amount of data about the state of the patient and the...
129
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ECML
2006
Springer
15 years 7 months ago
2006
Springer
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
138
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TSMC
2002
15 years 3 months ago
2002
Due to its fixed assignment nature, the well-known time division multiple access (TDMA) protocol suffers from poor performance when the offered traffic is bursty. In this paper, an...