Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Attractor Selection in Nonlinear Energy Harvesting Using Deep
  Reinforcement Learning   Recent research efforts demonstrate that the intentional use of nonlinearity
enhances the capabilities of energy harvesting systems. One of the primary
challenges that arise in nonlinear harvesters is that nonlinearities can often
result in multiple attractors with both desirable and undesirable responses
that may co-exist. This paper presents a nonlinear energy harvester which is
based on translation-to-rotational magnetic transmission and exhibits
coexisting attractors with different levels of electric power output. In
addition, a control method using deep reinforcement learning was proposed to
realize attractor switching between coexisting attractors with constrained
actuation.

30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
10
The categories of this paper are: q-bio
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
11
The categories of this paper are: hep-lat
0
The categories of this paper are: hep-ph
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th