Nicholas Corrado

According to our database, Nicholas Corrado authored at least 5 papers between 2022 and 2023.

Collaborative distances:

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

2023

On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling.

Nicholas E. Corrado, Josiah P. Hanna

CoRR, 2023

Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning.

Nicholas E. Corrado, Yuxiao Qu, John U. Balis, Adam Labiosa, Josiah P. Hanna

CoRR, 2023

Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates.

Nicholas E. Corrado, Josiah P. Hanna

CoRR, 2023

Deep Reinforcement Learning for Distribution Power System Cyber-Resilience via Distributed Energy Resource Control.

Nicholas E. Corrado, Michael Livesay, Tyson Bailey, Jay Johnson, Drew Levin

Proceedings of the IEEE International Conference on Communications, 2023

2022

Simulation-Acquired Latent Action Spaces for Dynamics Generalization.

Nicholas Corrado, Yuxiao Qu, Josiah P. Hanna

Proceedings of the Conference on Lifelong Learning Agents, 2022