{"abstract":[{"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.","lang":"eng"}],"date_created":"2022-03-10T18:28:14Z","date_updated":"2022-03-10T18:28:19Z","has_accepted_license":"1","quality_controlled":"1","citation":{"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 IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE, 2022.","ama":"Schneider SB, Werner S, Khalili R, Hecker A, Karl H. mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. In: IEEE/IFIP Network Operations and Management Symposium (NOMS). 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.","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.","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} }","apa":"Schneider, S. B., Werner, S., Khalili, R., Hecker, A., & Karl, H. (2022). mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest.","mla":"Schneider, Stefan Balthasar, et al. “Mobile-Env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks.” IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022."},"language":[{"iso":"eng"}],"publication":"IEEE/IFIP Network Operations and Management Symposium (NOMS)","_id":"30236","author":[{"first_name":"Stefan Balthasar","id":"35343","orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","last_name":"Schneider"},{"full_name":"Werner, Stefan","last_name":"Werner","first_name":"Stefan"},{"first_name":"Ramin","full_name":"Khalili, Ramin","last_name":"Khalili"},{"first_name":"Artur","full_name":"Hecker, Artur","last_name":"Hecker"},{"last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger","id":"126"}],"title":"mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks","keyword":["wireless mobile networks","network management","continuous control","cognitive networks","autonomous coordination","reinforcement learning","gym environment","simulation","open source"],"user_id":"35343","ddc":["004"],"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"},{"_id":"16","name":"SFB 901 - C4: SFB 901 - Subproject C4"}],"status":"public","type":"conference","publisher":"IEEE","year":"2022","file":[{"content_type":"application/pdf","access_level":"open_access","file_size":223412,"file_name":"author_version.pdf","date_updated":"2022-03-10T18:25:41Z","creator":"stschn","relation":"main_file","date_created":"2022-03-10T18:25:41Z","file_id":"30237"}],"conference":{"start_date":"2022-04-25","end_date":"2022-04-29","name":"IEEE/IFIP Network Operations and Management Symposium (NOMS)","location":"Budapest"},"oa":"1","department":[{"_id":"75"}],"file_date_updated":"2022-03-10T18:25:41Z"}