874 search results - page 27 / 175 » Iterative Learning Control - Monotonicity and Optimization |
ICML
2009
IEEE
15 years 10 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...
IJRR
2011
14 years 4 months ago
2011
We present a novel approach to legged locomotion over rough terrain that is thoroughly rooted in optimization. This approach relies on a hierarchy of fast, anytime algorithms to p...
ICRA
2010
IEEE
14 years 7 months ago
2010
IEEE
This paper describes the control of a human-like robotic neck actuated with tendons. The controller regulates the length of the tendons to achieve a desired orientation of the neck...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
This paper describes and analyzes sporadic model building, which can be used to enhance the efficiency of the hierarchical Bayesian optimization algorithm (hBOA) and other advance...
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CDC
2009
IEEE
15 years 2 months ago
2009
IEEE
— Most existing work uses dual decomposition and subgradient methods to solve network optimization problems in a distributed manner, which suffer from slow convergence rate prope...