| 2025 | AISTATS | Variational Adversarial Training Towards Policies with Improved Robustness. | Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic |
| 2024 | ICLR | On Trajectory Augmentations for Off-Policy Evaluation. | Ge Gao, Qitong Gao, Xi Yang, Song Ju, Miroslav Pajic, Min Chi |
| 2024 | IROS | Steering Decision Transformers via Temporal Difference Learning. | Hao-Lun Hsu, Alper Kamil Bozkurt, Juncheng Dong, Qitong Gao, Vahid Tarokh, Miroslav Pajic |
| 2023 | ICLR | Variational Latent Branching Model for Off-Policy Evaluation. | Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic |
| 2022 | ICLR | Gradient Importance Learning for Incomplete Observations. | Qitong Gao, Dong Wang, Joshua David Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic |
| 2022 | IJCAI | A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification. | Ge Gao, Qitong Gao, Xi Yang, Miroslav Pajic, Min Chi |
| 2020 | ICRA | Deep Imitative Reinforcement Learning for Temporal Logic Robot Motion Planning with Noisy Semantic Observations. | Qitong Gao, Miroslav Pajic, Michael M. Zavlanos |