James Queeney

According to our database, James Queeney authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain.

Xiaoyi Cai, James Queeney, Tong Xu, Aniket Datar, Chenhui Pan, Max Miller, Ashton Flather, Philip R. Osteen, Nicholas Roy, Xuesu Xiao, Jonathan P. How

IEEE Robotics Autom. Lett., March, 2025

Generalized Policy Improvement Algorithms With Theoretically Supported Sample Reuse.

James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras

IEEE Trans. Autom. Control., February, 2025

2024

Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees.

James Queeney, Erhan Can Ozcan, Ioannis Ch. Paschalidis, Christos G. Cassandras

Trans. Mach. Learn. Res., 2024

Adversarial Imitation Learning from Visual Observations using Latent Information.

Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

Trans. Mach. Learn. Res., 2024

GRAM: Generalization in Deep RL with a Robust Adaptation Module.

James Queeney, Xiaoyi Cai, Mouhacine Benosman, Jonathan P. How

CoRR, 2024

Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning.

Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

CoRR, 2024

Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees.

Yilei Chen, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

CoRR, 2024

A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations.

Erhan Can Ozcan, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning.

James Queeney, Mouhacine Benosman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Generalized Proximal Policy Optimization with Sample Reuse.

James Queeney, Yannis Paschalidis, Christos G. Cassandras

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach.

James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021