Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Practical Reinforcement Learning of Stabilizing Economic MPC   Reinforcement Learning (RL) has demonstrated a huge potential in learning
optimal policies without any prior knowledge of the process to be controlled.
Model Predictive Control (MPC) is a popular control technique which is able to
deal with nonlinear dynamics and state and input constraints. The main drawback
of MPC is the need of identifying an accurate model, which in many cases cannot
be easily obtained. Because of model inaccuracy, MPC can fail at delivering
satisfactory closed-loop performance. Using RL to tune the MPC formulation or,
conversely, using MPC as a function approximator in RL allows one to combine
the advantages of the two techniques. This approach has important advantages,
but it requires an adaptation of the existing algorithms. We therefore propose
an improved RL algorithm for MPC and test it in simulations on a rather
challenging example.

20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
17
The categories of this paper are: q-fin
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an