874 search results - page 69 / 175 » Iterative Learning Control - Monotonicity and Optimization |
109
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GECCO
2008
Springer
14 years 11 months ago
2008
Springer
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
110
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GECCO
2004
Springer
15 years 3 months ago
2004
Springer
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
AAAI
2012
13 years 9 days ago
2012
For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a ...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
WSC
2007
15 years 7 days ago
2007
The Logistics Composite Model (LCOM) is a stochastic, discrete-event simulation that relies on probabilities and random number generators to model scenarios in a maintenance unit ...