Efficient Online Learning for Cognitive Radar-Cellular Coexistence via Contextual Thompson Sampling. - Charles E. Thornton; R. Michael Buehrer; Anthony F. Martone (GLOBECOM, 2020)

Experimental Analysis of Reinforcement Learning Techniques for Spectrum Sharing Radar. - Charles E. Thornton; R. Michael Buehrer; Anthony F. Martone; Kelly D. Sherbondy (CoRR, 2020)

Constrained Online Learning to Mitigate Distortion Effects in Pulse-Agile Cognitive Radar. - Charles E. Thornton; R. Michael Buehrer; Anthony F. Martone (CoRR, 2020)

Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments. - Charles E. Thornton; Mark A. Kozy; R. Michael Buehrer; Anthony F. Martone; Kelly D. Sherbondy (IEEE Trans. Cogn. Commun. Netw., 2020)

Waveform Selection for Radar Tracking in Target Channels With Memory via Universal Learning. - Charles E. Thornton; R. Michael Buehrer; Anthony F. Martone (MILCOM, 2021)

Multi-player Bandits for Distributed Cognitive Radar. - William W. Howard; Charles E. Thornton; Anthony F. Martone; R. Michael Buehrer (CoRR, 2021)

Online Meta-Learning for Scene-Diverse Waveform-Agile Radar Target Tracking. - Charles E. Thornton; R. Michael Buehrer; Anthony F. Martone (CoRR, 2021)

Linear Jamming Bandits: Sample-Efficient Learning for Non-Coherent Digital Jamming. - Charles E. Thornton; R. Michael Buehrer (MILCOM, 2022)

Timely Target Tracking in Cognitive Radar Networks. - William W. Howard; Charles E. Thornton; R. Michael Buehrer (CoRR, 2022)

When is Cognitive Radar Beneficial? - Charles E. Thornton; R. Michael Buehrer (CoRR, 2022)

Universal Learning Waveform Selection Strategies for Adaptive Target Tracking. - Charles E. Thornton; R. Michael Buehrer; Harpreet S. Dhillon; Anthony F. Martone (IEEE Trans. Aerosp. Electron. Syst., 2022)

Constrained Contextual Bandit Learning for Adaptive Radar Waveform Selection. - Charles E. Thornton; R. Michael Buehrer; Anthony F. Martone (IEEE Trans. Aerosp. Electron. Syst., 2022)

Online Learning-Based Waveform Selection for Improved Vehicle Recognition in Automotive Radar. - Charles E. Thornton; William W. Howard; R. Michael Buehrer (ICASSP, 2023)

On the Value of Online Learning for Radar Waveform Selection. - Charles E. Thornton; R. Michael Buehrer (CoRR, 2023)

On the Role of 5G and Beyond Sidelink Communication in Multi-Hop Tactical Networks. - Charles E. Thornton; Evan Allen; Evar Jones; Daniel Jakubisin; Fred Templin; Lingjia Liu 001 (CoRR, 2023)

On the Value of Online Learning for Cognitive Radar Waveform Selection. - Charles E. Thornton (2023)

Online Bayesian Meta-Learning for Cognitive Tracking Radar. - Charles E. Thornton; Richard Michael Buehrer; Anthony F. Martone (IEEE Trans. Aerosp. Electron. Syst., 2023)

Linear Jamming Bandits: Learning to Jam OFDM-Modulated Signals. - Zachary Schutz; Daniel J. Jakubisin; Charles E. Thornton; R. Michael Buehrer (ICC, 2024)

Aircraft Radar Altimeter Interference Mitigation Through a CNN-Layer Only Denoising Autoencoder Architecture. - Samuel B. Brown; Stephen Young; Adam Wagenknecht; Daniel Jakubisin; Charles E. Thornton; Aaron Orndorff; William C. Headley (MILCOM, 2024)

Linear Jamming Bandits: Learning to Jam 5G-based Coded Communications Systems. - Zachary Schutz; Daniel J. Jakubisin; Charles E. Thornton; R. Michael Buehrer (MILCOM, 2024)

A Demonstration of 5G Sidelink-Enabled MANETs Within CORE/EMANE Framework. - Jamie Sloop; Evan Allen; Charles E. Thornton; Lingjia Liu 001; Fred Templin; Daniel J. Jakubisin (MILCOM, 2024)

System-Level Emulation of 5G Sidelink MANETs. - Jamie Sloop; Evan Allen; Charles E. Thornton; Lingjia Liu 001; Fred Templin; Daniel J. Jakubisin (VTC Fall, 2024)

Temporal Convolutional Autoencoder for Interference Mitigation in FMCW Radar Altimeters. - Charles E. Thornton; Jamie Sloop; Samuel B. Brown; Aaron Orndorff; William C. Headley; Stephen Young (CoRR, 2025)