47 search results - page 4 / 10 » Norm optimal Cross-Coupled Iterative Learning Control |
127
Voted
AIPS
2010
15 years 2 months ago
2010
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
128
Voted
JMLR
2010
14 years 9 months ago
2010
We consider regularized stochastic learning and online optimization problems, where the objective function is the sum of two convex terms: one is the loss function of the learning...
141
Voted
ICMLA
2010
15 years 16 days ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
136
Voted
NIPS
2008
15 years 4 months ago
2008
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
134
Voted
MP
2010
15 years 1 months ago
2010
Abstract. We present a null-space primal-dual interior-point algorithm for solving nonlinear optimization problems with general inequality and equality constraints. The algorithm a...