Qitong Gao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Mazurkiewicz Traces

Policy Evaluation

Top Venues

Publications

Ge Gao, Qitong Gao, Xi Yang, Song Ju, Miroslav Pajic, Min Chi
On Trajectory Augmentations for Off-Policy Evaluation. ICLR (2024)
Hao-Lun Hsu, Qitong Gao, Miroslav Pajic
ε-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment. CoRR (2024)
Hao-Lun Hsu, Qitong Gao, Miroslav Pajic
ϵ-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment. ICCPS (2024)
Qitong Gao, Stephen L. Schmidt, Afsana Chowdhury, Guangyu Feng, Jennifer J. Peters, Katherine Genty, Warren M. Grill, Dennis A. Turner, Miroslav Pajic
Offline Learning of Closed-Loop Deep Brain Stimulation Controllers for Parkinson Disease Treatment. ICCPS (2023)
Qitong Gao, Stephen L. Schmidt, Afsana Chowdhury, Guangyu Feng, Jennifer J. Peters, Katherine Genty, Warren M. Grill, Dennis A. Turner, Miroslav Pajic
Offline Learning of Closed-Loop Deep Brain Stimulation Controllers for Parkinson Disease Treatment. CoRR (2023)
Juncheng Dong, Hao-Lun Hsu, Qitong Gao, Vahid Tarokh, Miroslav Pajic
Robust Reinforcement Learning through Efficient Adversarial Herding. CoRR (2023)
Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic
Variational Latent Branching Model for Off-Policy Evaluation. ICLR (2023)
Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic
Variational Latent Branching Model for Off-Policy Evaluation. CoRR (2023)
Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic
Off-Policy Evaluation for Human Feedback. CoRR (2023)
Qitong Gao, Ge Gao, Juncheng Dong, Vahid Tarokh, Min Chi, Miroslav Pajic
Off-Policy Evaluation for Human Feedback. NeurIPS (2023)
Qitong Gao, Dong Wang, Joshua David Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic
Gradient Importance Learning for Incomplete Observations. ICLR (2022)
Yu Wang, Qitong Gao, Miroslav Pajic
Learning Monotone Dynamics by Neural Networks. ACC (2022)
Qitong Gao, Stephen L. Schmidt, Karthik Kamaravelu, Dennis A. Turner, Warren M. Grill, Miroslav Pajic
Offline Policy Evaluation for Learning-based Deep Brain Stimulation Controllers. ICCPS (2022)
Amir Khazraei, Spencer Hallyburton, Qitong Gao, Yu Wang, Miroslav Pajic
Learning-Based Vulnerability Analysis of Cyber-Physical Systems. ICCPS (2022)
Ge Gao, Qitong Gao, Xi Yang, Miroslav Pajic, Min Chi
A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification. IJCAI (2022)
Amir Khazraei, Spencer Hallyburton, Qitong Gao, Yu Wang, Miroslav Pajic
Learning-Based Vulnerability Analysis of Cyber-Physical Systems. CoRR (2021)
Qitong Gao, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic
Imputation-Free Learning from Incomplete Observations. CoRR (2021)
Qitong Gao, Michael Naumann, Ilija Jovanov, Vuk Lesi, Karthik Kumaravelu, Warren M. Grill, Miroslav Pajic
Model-Based Design of Closed Loop Deep Brain Stimulation Controller using Reinforcement Learning. ICCPS (2020)
Qitong Gao, Miroslav Pajic, Michael M. Zavlanos
Deep Imitative Reinforcement Learning for Temporal Logic Robot Motion Planning with Noisy Semantic Observations. ICRA (2020)
Yu Wang, Qitong Gao, Miroslav Pajic
Deep Learning for Stable Monotone Dynamical Systems. CoRR (2020)
Qitong Gao, Davood Hajinezhad, Yan Zhang, Yiannis Kantaros, Michael M. Zavlanos
Reduced variance deep reinforcement learning with temporal logic specifications. ICCPS (2019)