James Queeney - RankMe

21 papers A* 4Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GRAM: Generalization in Deep RL With a Robust Adaptation Module. IEEE Robotics Autom. Lett. James Queeney, Xiaoyi Cai, Alexander Schperberg, Radu Corcodel, Mouhacine Benosman, Jonathan P. How
2025	J	`jnl`	Generalized Policy Improvement Algorithms With Theoretically Supported Sample Reuse. IEEE Trans. Autom. Control. James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras
2025	J	`jnl`	PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain. IEEE Robotics Autom. Lett. Xiaoyi Cai, James Queeney, Tong Xu, Aniket Datar, Chenhui Pan, Max Miller, Ashton Flather, Philip R. Osteen, Nicholas Roy, Xuesu Xiao, Jonathan P. How
2025	A*	`conf`	Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning. ICRA Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2024	—	`conf`	A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations. CDC Erhan Can Ozcan, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2024	J	`jnl`	A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations. CoRR Erhan Can Ozcan, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2024	J	`jnl`	Adversarial Imitation Learning from Visual Observations using Latent Information. Trans. Mach. Learn. Res. Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2024	J	`jnl`	GRAM: Generalization in Deep RL with a Robust Adaptation Module. CoRR James Queeney, Xiaoyi Cai, Mouhacine Benosman, Jonathan P. How
2024	J	`jnl`	Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees. Trans. Mach. Learn. Res. James Queeney, Erhan Can Ozcan, Ioannis Ch. Paschalidis, Christos G. Cassandras
2024	J	`jnl`	PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain. CoRR Xiaoyi Cai, James Queeney, Tong Xu, Aniket Datar, Chenhui Pan, Max Miller, Ashton Flather, Philip R. Osteen, Nicholas Roy, Xuesu Xiao, Jonathan P. How
2024	J	`jnl`	Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees. CoRR Yilei Chen, Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2024	J	`jnl`	Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning. CoRR Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2023	J	`jnl`	Adversarial Imitation Learning from Visual Observations using Latent Information. CoRR Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2023	J	`jnl`	Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees. CoRR James Queeney, Erhan Can Ozcan, Ioannis Ch. Paschalidis, Christos G. Cassandras
2023	A*	`conf`	Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning. NeurIPS James Queeney, Mouhacine Benosman
2023	J	`jnl`	Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning. CoRR James Queeney, Mouhacine Benosman
2022	J	`jnl`	Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse. CoRR James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras
2021	A*	`conf`	Generalized Proximal Policy Optimization with Sample Reuse. NeurIPS James Queeney, Yannis Paschalidis, Christos G. Cassandras
2021	J	`jnl`	Generalized Proximal Policy Optimization with Sample Reuse. CoRR James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras
2021	A*	`conf`	Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach. AAAI James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras
2020	J	`jnl`	Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach. CoRR James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras