Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Structured Neural Network Dynamics for Model-based Control   We present a structured neural network architecture that is inspired by
linear time-varying dynamical systems. The network is designed to mimic the
properties of linear dynamical systems which makes analysis and control simple.
The architecture facilitates the integration of learned system models with
gradient-based model predictive control algorithms, and removes the requirement
of computing potentially costly derivatives online. We demonstrate the efficacy
of this modeling technique in computing autonomous control policies through
evaluation in a variety of standard continuous control domains.

26
The categories of this paper are: bayes-an
12
The categories of this paper are: nucl-th
19
The categories of this paper are: eess
24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
16
The categories of this paper are: stat
13
The categories of this paper are: quant-ph
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
22
The categories of this paper are: chao-dyn
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas