---
_id: '30236'
abstract:
- lang: eng
  text: "Recent reinforcement learning approaches for continuous control in wireless
    mobile networks have shown impressive\r\nresults. But due to the lack of open
    and compatible simulators, authors typically create their own simulation environments
    for training and evaluation. This is cumbersome and time-consuming for authors
    and limits reproducibility and comparability, ultimately impeding progress in
    the field.\r\n\r\nTo this end, we propose mobile-env, a simple and open platform
    for training, evaluating, and comparing reinforcement learning and conventional
    approaches for continuous control in mobile wireless networks. mobile-env is lightweight
    and implements the common OpenAI Gym interface and additional wrappers, which
    allows connecting virtually any single-agent or multi-agent reinforcement learning
    framework to the environment. While mobile-env provides sensible default values
    and can be used out of the box, it also has many configuration options and is
    easy to extend. We therefore believe mobile-env to be a valuable platform for
    driving meaningful progress in autonomous coordination of\r\nwireless mobile networks."
author:
- first_name: Stefan Balthasar
  full_name: Schneider, Stefan Balthasar
  id: '35343'
  last_name: Schneider
  orcid: 0000-0001-8210-4011
- first_name: Stefan
  full_name: Werner, Stefan
  last_name: Werner
- first_name: Ramin
  full_name: Khalili, Ramin
  last_name: Khalili
- first_name: Artur
  full_name: Hecker, Artur
  last_name: Hecker
- first_name: Holger
  full_name: Karl, Holger
  id: '126'
  last_name: Karl
citation:
  ama: 'Schneider SB, Werner S, Khalili R, Hecker A, Karl H. mobile-env: An Open Platform
    for Reinforcement Learning in Wireless Mobile Networks. In: <i>IEEE/IFIP Network
    Operations and Management Symposium (NOMS)</i>. IEEE; 2022.'
  apa: 'Schneider, S. B., Werner, S., Khalili, R., Hecker, A., &#38; Karl, H. (2022).
    mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks.
    <i>IEEE/IFIP Network Operations and Management Symposium (NOMS)</i>. IEEE/IFIP
    Network Operations and Management Symposium (NOMS), Budapest.'
  bibtex: '@inproceedings{Schneider_Werner_Khalili_Hecker_Karl_2022, title={mobile-env:
    An Open Platform for Reinforcement Learning in Wireless Mobile Networks}, booktitle={IEEE/IFIP
    Network Operations and Management Symposium (NOMS)}, publisher={IEEE}, author={Schneider,
    Stefan Balthasar and Werner, Stefan and Khalili, Ramin and Hecker, Artur and Karl,
    Holger}, year={2022} }'
  chicago: 'Schneider, Stefan Balthasar, Stefan Werner, Ramin Khalili, Artur Hecker,
    and Holger Karl. “Mobile-Env: An Open Platform for Reinforcement Learning in Wireless
    Mobile Networks.” In <i>IEEE/IFIP Network Operations and Management Symposium
    (NOMS)</i>. IEEE, 2022.'
  ieee: 'S. B. Schneider, S. Werner, R. Khalili, A. Hecker, and H. Karl, “mobile-env:
    An Open Platform for Reinforcement Learning in Wireless Mobile Networks,” presented
    at the IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest,
    2022.'
  mla: 'Schneider, Stefan Balthasar, et al. “Mobile-Env: An Open Platform for Reinforcement
    Learning in Wireless Mobile Networks.” <i>IEEE/IFIP Network Operations and Management
    Symposium (NOMS)</i>, IEEE, 2022.'
  short: 'S.B. Schneider, S. Werner, R. Khalili, A. Hecker, H. Karl, in: IEEE/IFIP
    Network Operations and Management Symposium (NOMS), IEEE, 2022.'
conference:
  end_date: 2022-04-29
  location: Budapest
  name: IEEE/IFIP Network Operations and Management Symposium (NOMS)
  start_date: 2022-04-25
date_created: 2022-03-10T18:28:14Z
date_updated: 2022-03-10T18:28:19Z
ddc:
- '004'
department:
- _id: '75'
file:
- access_level: open_access
  content_type: application/pdf
  creator: stschn
  date_created: 2022-03-10T18:25:41Z
  date_updated: 2022-03-10T18:25:41Z
  file_id: '30237'
  file_name: author_version.pdf
  file_size: 223412
  relation: main_file
file_date_updated: 2022-03-10T18:25:41Z
has_accepted_license: '1'
keyword:
- wireless mobile networks
- network management
- continuous control
- cognitive networks
- autonomous coordination
- reinforcement learning
- gym environment
- simulation
- open source
language:
- iso: eng
oa: '1'
project:
- _id: '1'
  name: 'SFB 901: SFB 901'
- _id: '4'
  name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '16'
  name: 'SFB 901 - C4: SFB 901 - Subproject C4'
publication: IEEE/IFIP Network Operations and Management Symposium (NOMS)
publisher: IEEE
quality_controlled: '1'
status: public
title: 'mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile
  Networks'
type: conference
user_id: '35343'
year: '2022'
...