Statistical learning theory and high dimensional statistics have had a
t...
We introduce the first direct policy search algorithm which provably
con...
Stabilizing an unknown control system is one of the most fundamental pro...
This paper proposes methods for identification of large-scale networked
...
Given a graph, the shortest-path problem requires finding a sequence of ...
Recent work by Mania et al. has proved that certainty equivalent control...
This paper concerns the problem of learning control policies for an unkn...
New light is shed onto optimization problems resulting from prediction e...
We propose an input design method for a general class of parametric
prob...
Learning to make decisions from observed data in dynamic environments re...
Estimation of nonlinear dynamic models from data poses many challenges,
...