Kevin Alcedo

According to our database, Kevin Alcedo authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Principal trade-off analysis.

Alexander Strang, David Sewell, Alexander Kim, Kevin Alcedo, David Rosenbluth

Inf. Vis., 2024

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., December, 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

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Multi-Agent Reinforcement Learning with Epistemic Priors.

Thayne T. Walker, Jaime S. Ide, Minkyu Choi, Michael J. Guarino, Kevin Alcedo

Proceedings of the 9th International Conference on Control, 2023

2022

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

2021

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