Marconi-Rosenblatt Framework for Intelligent Networks (MR-iNet Gym)

For Rapid Design and Implementation of Distributed Multi-agent Reinforcement Learning Solutions for Wireless Networks

The first ns3 module for CDMA packaged to be driven by a reinforcement learning (RL) framework released for public use under the Creative Commons Attribution - NonCommercial - ShareAlike 4.0 License (CC BY-NC-SA 4.0) [Additional info can be found at the end] by MR Lab at ANDRO.

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How to cite this Code ?

• BibTeX

@inproceedings{JagannathWiseML22_MRiNet, author ={Jithin Jagannath, Kian Hamedani, Collin Farquhar, Keyvan Ramezanpour, Anu Jagannath}, title ={{MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio}}, booktitle ={Proc. of ACM Workshop on Wireless Security and Machine Learning (WiseML)}, address ={San Antonio, Texas, USA}, month ={May}, year ={2022}}

@inproceedings{JagannathMTL, title={{Marconi-Rosenblatt Framework for Intelligent Networks (MR-iNet Gym): For Rapid Design and Implementation of Distributed Multi-agent Reinforcement Learning Solutions for Wireless Networks}}, author={C. Farquhar and S. Kafle and K. Hamedani and A. Jagannath and J. Jagannath}, booktitle = {Computer Networks (Elsevier)}, year = {2022 [under review]} }

• Plain Text

J. Jagannath, K. Hamedani, C. Farquhar, K. Ramezanpour, A. Jagannath, "MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio", in Proc. of ACM Workshop on Wireless Security and Machine Learning (WiseML), San Antonio, Texas, USA May, 2022.

C. Farquhar and S. Kafle and K. Hamedani and A. Jagannath and J. Jagannath, "Marconi-Rosenblatt Framework for Intelligent Networks (MR-iNet Gym): For Rapid Design and Implementation of Distributed Multi-agent Reinforcement Learning Solutions for Wireless Networks", Computer Networks (Elsevier) 2022. [under review]

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