Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Stability-certified reinforcement learning: A control-theoretic
  perspective   We investigate the important problem of certifying stability of reinforcement
learning policies when interconnected with nonlinear dynamical systems. We show
that by regulating the input-output gradients of policies, strong guarantees of
robust stability can be obtained based on a proposed semidefinite programming
feasibility problem. The method is able to certify a large set of stabilizing
controllers by exploiting problem-specific structures; furthermore, we analyze
and establish its (non)conservatism. Empirical evaluations on two decentralized
control tasks, namely multi-flight formation and power system frequency
regulation, demonstrate that the reinforcement learning agents can have high
performance within the stability-certified parameter space, and also exhibit
stable learning behaviors in the long run.

13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
19
The categories of this paper are: eess
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
5
The categories of this paper are: gr-qc