7 search results - page 1 / 2 » Convex modifications to an iterative learning control law |
63
Voted
AUTOMATICA
2004
15 years 16 days ago
2004
119
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JDCTA
2010
14 years 7 months ago
2010
This paper presents a new method for solving a class of infinite horizon nonlinear optimal control problems. In this method, first the original optimal control problem is transfor...
101
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
106
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FBIT
2007
IEEE
15 years 7 months ago
2007
IEEE
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
88
Voted
AUTOMATICA
2004
15 years 16 days ago
2004
Repetitive processes are a distinct class of 2D systems (i.e. information propagation in two independent directions) of both systems theoretic and applications interest. They cann...