Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ns3-gym: Extending OpenAI Gym for Networking Research   OpenAI Gym is a toolkit for reinforcement learning (RL) research. It includes
a large number of well-known problems that expose a common interface allowing
to directly compare the performance results of different RL algorithms. Since
many years, the ns-3 network simulation tool is the de-facto standard for
academic and industry research into networking protocols and communications
technology. Numerous scientific papers were written reporting results obtained
using ns-3, and hundreds of models and modules were written and contributed to
the ns-3 code base. Today as a major trend in network research we see the use
of machine learning tools like RL. What is missing is the integration of a RL
framework like OpenAI Gym into the network simulator ns-3. This paper presents
the ns3-gym framework. First, we discuss design decisions that went into the
software. Second, two illustrative examples implemented using ns3-gym are
presented. Our software package is provided to the community as open source
under a GPL license and hence can be easily extended.

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The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
11
The categories of this paper are: hep-lat
35
The categories of this paper are: mtrl-th
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
14
The categories of this paper are: math-ph
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int