Alali, Mohammad, Kazeminajafabadi, Armita, and Imani, Mahdi. Deep reinforcement learning sensor scheduling for effective monitoring of dynamical systems. Retrieved from https://par.nsf.gov/biblio/10516594. Systems Science & Control Engineering 12.1 Web. doi:10.1080/21642583.2024.2329260.

Alali, Mohammad, Kazeminajafabadi, Armita, & Imani, Mahdi. Deep reinforcement learning sensor scheduling for effective monitoring of dynamical systems. Systems Science & Control Engineering, 12 (1). Retrieved from https://par.nsf.gov/biblio/10516594. https://doi.org/10.1080/21642583.2024.2329260

Alali, Mohammad, Kazeminajafabadi, Armita, and Imani, Mahdi. "Deep reinforcement learning sensor scheduling for effective monitoring of dynamical systems". Systems Science & Control Engineering 12 (1). Country unknown/Code not available: Taylor and Francis Ltd.. https://doi.org/10.1080/21642583.2024.2329260. https://par.nsf.gov/biblio/10516594.

@article{osti_10516594,
place = {Country unknown/Code not available}, title = {Deep reinforcement learning sensor scheduling for effective monitoring of dynamical systems}, url = {https://par.nsf.gov/biblio/10516594}, DOI = {10.1080/21642583.2024.2329260}, abstractNote = {}, journal = {Systems Science & Control Engineering}, volume = {12}, number = {1}, publisher = {Taylor and Francis Ltd.}, author = {Alali, Mohammad and Kazeminajafabadi, Armita and Imani, Mahdi}, }