Publications

Updated Jul 2024

For the most up-to-date list of publications, please visit my Google Scholar page.

Preprints

Visually robust adversarial imitation learning from videos with contrastive learning
arXiv preprint, 2024
Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

Provably efficient off-policy adversarial imitation learning with convergence guarantees
arXiv preprint, 2024
Yilei Chen, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

A model-based approach for improving reinforcement learning efficiency leveraging expert observations
arXiv preprint, 2024
Erhan Can Ozcan, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

Generalized policy improvement algorithms with theoretically supported sample reuse
arXiv preprint, 2022
James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras

Peer-Reviewed Publications

Adversarial imitation learning from visual observations using latent information
Transactions on Machine Learning Research, 2024
Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

Optimal transport perturbations for safe reinforcement learning with robustness guarantees
Transactions on Machine Learning Research, 2024
James Queeney, Erhan Can Ozcan, Ioannis Ch. Paschalidis, Christos G. Cassandras

Risk-averse model uncertainty for distributionally robust safe reinforcement learning
Advances in Neural Information Processing Systems, 2023 (NeurIPS 2023)
James Queeney, Mouhacine Benosman

Opportunities and challenges from using animal videos in reinforcement learning for navigation
22nd IFAC World Congress, 2023 (IFAC 2023)
Vittorio Giammarino, James Queeney, Lucas C. Carstensen, Michael E. Hasselmo, Ioannis Ch. Paschalidis

Generalized proximal policy optimization with sample reuse
Advances in Neural Information Processing Systems, 2021 (NeurIPS 2021)
James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras

Uncertainty-aware policy optimization: A robust, adaptive trust region approach
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 (AAAI 2021)
James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras

Dissertation

Reliable deep reinforcement learning: Stable training and robust deployment
PhD thesis, Boston University, 2023
James Queeney