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Kevin Alcedo
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2020 – today
- 2024
- [j2]Alexander Strang
, David Sewell, Alexander Kim, Kevin Alcedo, David Rosenbluth:
Principal trade-off analysis. Inf. Vis. 23(3): 258-271 (2024) - 2023
- [j1]Adrian P. Pope
, Jaime S. Ide
, Daria Micovic, Henry Díaz, Jason C. Twedt, Kevin Alcedo, Thayne T. Walker, David Rosenbluth, Lee Ritholtz, Daniel Javorsek
:
Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials. IEEE Trans. Artif. Intell. 4(6): 1371-1385 (2023) - [c2]Thayne T. Walker, Jaime S. Ide, Minkyu Choi, Michael J. Guarino, Kevin Alcedo:
Multi-Agent Reinforcement Learning with Epistemic Priors. CoDIT 2023: 2514-2518 - [c1]Alberto Speranzon, Christian H. Debrunner, David Rosenbluth, Mauricio Castillo-Effen, Anthony R. Nowicki, Kevin Alcedo, Andrzej Banaszuk:
Challenge Problems in Developing a Neuro-Symbolic OODA Loop. NeSy 2023: 241-247 - 2022
- [i3]Jaime S. Ide, Daria Micovic, Michael J. Guarino, Kevin Alcedo, David Rosenbluth, Adrian P. Pope:
Soft Actor-Critic with Inhibitory Networks for Faster Retraining. CoRR abs/2202.02918 (2022) - [i2]Alexander Strang, David Sewell, Alexander Kim, Kevin Alcedo, David Rosenbluth:
Principal Trade-off Analysis. CoRR abs/2206.07520 (2022) - 2021
- [i1]Adrian P. Pope, Jaime S. Ide, Daria Micovic, Henry Díaz, David Rosenbluth, Lee Ritholtz, Jason C. Twedt, Thayne T. Walker, Kevin Alcedo, Daniel Javorsek:
Hierarchical Reinforcement Learning for Air-to-Air Combat. CoRR abs/2105.00990 (2021)
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last updated on 2024-07-20 20:32 CEST by the dblp team
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