Hierarchical Reinforcement Learning for Air-to-Air Combat. - Adrian P. Pope; Jaime S. Ide; Daria Micovic; Henry Díaz; David Rosenbluth; Lee Ritholtz; Jason C. Twedt; Thayne T. Walker; Kevin Alcedo; Daniel Javorsek (CoRR, 2021)

Soft Actor-Critic with Inhibitory Networks for Faster Retraining. - Jaime S. Ide; Daria Micovic; Michael J. Guarino; Kevin Alcedo; David Rosenbluth; Adrian P. Pope (CoRR, 2022)

Multi-Agent Reinforcement Learning with Epistemic Priors. - Thayne T. Walker; Jaime S. Ide; Minkyu Choi 001; Michael J. Guarino; Kevin Alcedo (CoDIT, 2023)

Challenge Problems in Developing a Neuro-Symbolic OODA Loop. - Alberto Speranzon; Christian H. Debrunner; David Rosenbluth; Mauricio Castillo-Effen; Anthony R. Nowicki; Kevin Alcedo; Andrzej Banaszuk (NeSy, 2023)

Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials. - Adrian P. Pope; Jaime S. Ide; Daria Micovic; Henry Díaz; Jason C. Twedt; Kevin Alcedo; Thayne T. Walker; David Rosenbluth; Lee Ritholtz; Daniel Javorsek (IEEE Trans. Artif. Intell., 2023)

Principal trade-off analysis. - Alexander Strang; David Sewell; Alexander Kim; Kevin Alcedo; David Rosenbluth (Inf. Vis., 2024)

Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation. - Kevin Alcedo; Pedro U. Lima; Rachid Alami 001 (CoRR, 2025)