Considerations of Reinforcement Learning within Real-Time Wireless Communication Systems. - Alyse M. Jones; William C. Headley (MILCOM, 2022)

RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications. - Daniel Rosen; Illa Rochez; Caleb McIrvin; Joshua Lee; Kevin D'Alessandro; Max Wiecek; Nhan Hoang; Ramzy Saffarini; Sam Philips; Vanessa Jones; Will Ivey; Zavier Harris-Smart; et al. (ICMLA, 2023)

Demoing the RFRL Gym: A Reinforcement Learning Testbed for Wireless Communications. - Alyse M. Jones; Amos Johnson; William C. Headley (MILCOM, 2023)

CLOUD-D RF: Cloud-based Distributed Radio Frequency Heterogeneous Spectrum Sensing. - Dylan Green; Caleb McIrvin; River Thaboun; Cora Wemlinger; Joseph Risi; Alyse M. Jones; Maymoonah Toubeh; William C. Headley (MobiCom, 2024)

A Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications. - Sriniketh Vangaru; Daniel Rosen; Dylan Green; Raphael Rodriguez; Maxwell Wiecek; Amos Johnson; Alyse M. Jones; William C. Headley (CCNC, 2025)

Demonstration of the Multi-Agent Reinforcement Learning Testbed for Cognitive Radio Applications. - Sriniketh Vangaru; Daniel Rosen; Dylan Green; Raphael Rodriguez; Maxwell Wiecek; Amos Johnson; Alyse M. Jones; William C. Headley (CCNC, 2025)