James Queeney

According to our database, James Queeney authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 2024

2023

Adversarial Imitation Learning from Visual Observations using Latent Information.

Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis

CoRR, 2023

Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees.

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

CoRR, 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

2022

Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse.

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

CoRR, 2022

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