Ibrahim, Mostafa, Hashmi, Umair Sajid, Nabeel, Muhammad, Imran, Ali, and Ekin, Sabit. Embracing Complexity: Agent-Based Modeling for HetNets Design and Optimization via Concurrent Reinforcement Learning Algorithms. Retrieved from https://par.nsf.gov/biblio/10352660. IEEE Transactions on Network and Service Management 18.4 Web. doi:10.1109/TNSM.2021.3121282.

Ibrahim, Mostafa, Hashmi, Umair Sajid, Nabeel, Muhammad, Imran, Ali, & Ekin, Sabit. Embracing Complexity: Agent-Based Modeling for HetNets Design and Optimization via Concurrent Reinforcement Learning Algorithms. IEEE Transactions on Network and Service Management, 18 (4). Retrieved from https://par.nsf.gov/biblio/10352660. https://doi.org/10.1109/TNSM.2021.3121282

Ibrahim, Mostafa, Hashmi, Umair Sajid, Nabeel, Muhammad, Imran, Ali, and Ekin, Sabit. "Embracing Complexity: Agent-Based Modeling for HetNets Design and Optimization via Concurrent Reinforcement Learning Algorithms". IEEE Transactions on Network and Service Management 18 (4). Country unknown/Code not available. https://doi.org/10.1109/TNSM.2021.3121282. https://par.nsf.gov/biblio/10352660.

@article{osti_10352660,
place = {Country unknown/Code not available}, title = {Embracing Complexity: Agent-Based Modeling for HetNets Design and Optimization via Concurrent Reinforcement Learning Algorithms}, url = {https://par.nsf.gov/biblio/10352660}, DOI = {10.1109/TNSM.2021.3121282}, abstractNote = {}, journal = {IEEE Transactions on Network and Service Management}, volume = {18}, number = {4}, author = {Ibrahim, Mostafa and Hashmi, Umair Sajid and Nabeel, Muhammad and Imran, Ali and Ekin, Sabit}, }