Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Deep Q-Learning for Directed Acyclic Graph Generation   We present a method to generate directed acyclic graphs (DAGs) using deep
reinforcement learning, specifically deep Q-learning. Generating graphs with
specified structures is an important and challenging task in various
application fields, however most current graph generation methods produce
graphs with undirected edges. We demonstrate that this method is capable of
generating DAGs with topology and node types satisfying specified criteria in
highly sparse reward environments.

23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
5
The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
35
The categories of this paper are: mtrl-th
8
The categories of this paper are: hep-ex
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
31
The categories of this paper are: ao-sci
15
The categories of this paper are: nucl-ex