1. Dafna Shahaf Aviv Tamar Asaf Valadarsky, Michael Schapira. 2017. Learning To Route with Deep RL. In NIPS.
2. R. Atallah, C. Assi, and M. Khabbaz. 2017. Deep reinforcement learning-based scheduling for roadside communication networks. In WiOpt.
3. Sergio Barrachina-Muñoz, Francesc Wilhelmi, Ioannis Selinis, and Boris Bellalta. 2018. Komondor: a Wireless Network Simulator for Next-Generation High- Density WLANs. CoRR abs/1811.12397 (2018). arXiv:1811.12397 http://arxiv.org/ abs/1811.12397
4. Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba. 2016. OpenAI Gym. CoRR (2016). http://arxiv.org/abs/1606.01540
5. Gustavo Carneiro, Helder Fontes, and Manuel Ricardo. 2011. Fast prototyping of network protocols through ns-3 simulation model reuse. Simulation modelling practice and theory, Elsevier (2011).