- Giammarino, V., Queeney, J., Paschalidis, I.C., "Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning", arXiv, June 2024.
BibTeX arXiv- @article{Giammarino2024jun2,
- author = {Giammarino, Vittorio and Queeney, James and Paschalidis, Ioannis Ch.}},
- title = {Visually Robust Adversarial Imitation Learning from Videos with Contrastive Learning},
- journal = {arXiv},
- year = 2024,
- month = jun,
- url = {https://arxiv.org/abs/2407.12792}
- }
- Giammarino, V., Queeney, J., Paschalidis, I.C., "Adversarial Imitation Learning from Visual Observations using Latent Information", Transactions on Machine Learning Research (TMLR), June 2024.
BibTeX TR2024-068 PDF- @article{Giammarino2024jun,
- author = {Giammarino, Vittorio and Queeney, James and Paschalidis, Ioannis Ch.},
- title = {Adversarial Imitation Learning from Visual Observations using Latent Information},
- journal = {Transactions on Machine Learning Research (TMLR)},
- year = 2024,
- month = jun,
- issn = {2835-8856},
- url = {https://www.merl.com/publications/TR2024-068}
- }
- Chen, Y., Giammarino, V., Queeney, J., Paschalidis, I.C., "Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees", arXiv, May 2024.
BibTeX arXiv- @article{Chen2024may2,
- author = {Chen, Yilei and Giammarino, Vittorio and Queeney, James and Paschalidis, Ioannis Ch.}},
- title = {Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees},
- journal = {arXiv},
- year = 2024,
- month = may,
- url = {https://arxiv.org/abs/2405.16668}
- }
- Queeney, J., Ozcan, E.C., Paschalidis, I.C., Cassandras, C.G., "Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees", Transactions on Machine Learning Research (TMLR), April 2024.
BibTeX TR2024-037 PDF- @article{Queeney2024apr,
- author = {Queeney, James and Ozcan, Erhan Can and Paschalidis, Ioannis Ch. and Cassandras, Christos G.},
- title = {Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees},
- journal = {Transactions on Machine Learning Research (TMLR)},
- year = 2024,
- month = apr,
- issn = {2835-8856},
- url = {https://www.merl.com/publications/TR2024-037}
- }
- Ozcan, E.C., Giammarino, V., Queeney, J., Paschalidis, I.C., "A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations", arXiv, February 2024.
BibTeX arXiv- @article{Ozcan2024feb,
- author = {Ozcan, Erhan Can and Giammarino, Vittorio and Queeney, James and Paschalidis, Ioannis Ch.},
- title = {A Model-Based Approach for Improving Reinforcement Learning Efficiency Leveraging Expert Observations},
- journal = {arXiv},
- year = 2024,
- month = feb,
- url = {https://arxiv.org/abs/2402.18836}
- }