Experimental Evaluation of the Planar Assumption in Magnetic Positioning. - David Hanley; Xiangyuan Zhang; Augusto S. Dantas de Oliveira; Daniel Steinberg; Timothy Bretl (IPIN, 2018)

Non-Cooperative Inverse Reinforcement Learning. - Xiangyuan Zhang; Kaiqing Zhang; Erik Miehling; Tamer Basar (NeurIPS, 2019)

State Estimation for Legged Robots Using Contact-Centric Leg Odometry. - Shuo Yang; Hans Kumar; Zhaoyuan Gu; Xiangyuan Zhang; Matthew J. Travers; Howie Choset (CoRR, 2019)

The Impact of Height on Indoor Positioning with Magnetic Fields. - David Hanley; Augusto S. Dantas de Oliveira; Xiangyuan Zhang; Dae Hyun Kim 006; Yusheng Wei; Timothy Bretl (IEEE DataPort, 2020)

The Impact of Height on Indoor Positioning with Magnetic Fields. - David Hanley; Augusto S. Dantas de Oliveira; Xiangyuan Zhang; Dae Hyun Kim 006; Yusheng Wei; Timothy Bretl (IEEE DataPort, 2020)

Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity. - Kaiqing Zhang; Xiangyuan Zhang; Bin Hu 002; Tamer Basar (NeurIPS, 2021)

Derivative-Free Policy Optimization for Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity. - Kaiqing Zhang; Xiangyuan Zhang; Bin Hu 002; Tamer Basar (CoRR, 2021)

The Impact of Height on Indoor Positioning With Magnetic Fields. - David Hanley; Augusto S. Dantas de Oliveira; Xiangyuan Zhang; Dae Hyun Kim 006; Yusheng Wei; Timothy Bretl (IEEE Trans. Instrum. Meas., 2021)

Erratum to "The Impact of Height on Indoor Positioning With Magnetic Fields". - David Hanley; Augusto S. Dantas de Oliveira; Xiangyuan Zhang; Dae Hyun Kim 006; Yusheng Wei; Timothy Bretl (IEEE Trans. Instrum. Meas., 2021)

Learning the Kalman Filter with Fine-Grained Sample Complexity. - Xiangyuan Zhang; Bin Hu 002; Tamer Basar (ACC, 2023)

Global Convergence of Receding-Horizon Policy Search in Learning Estimator Designs. - Xiangyuan Zhang; Saviz Mowlavi; Mouhacine Benosman; Tamer Basar (CoRR, 2023)

Controlgym: Large-Scale Safety-Critical Control Environments for Benchmarking Reinforcement Learning Algorithms. - Xiangyuan Zhang; Weichao Mao; Saviz Mowlavi; Mouhacine Benosman; Tamer Basar (CoRR, 2023)

Revisiting LQR Control From the Perspective of Receding-Horizon Policy Gradient. - Xiangyuan Zhang; Tamer Basar (IEEE Control. Syst. Lett., 2023)

Marine Target Magnetic Anomaly Detection Based on Multitask Deep Transfer Learning. - Shigang Wang; Xiangyuan Zhang; Yaqiu Qin; Wenhua Song; Bin Li 065 (IEEE Geosci. Remote. Sens. Lett., 2023)

Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms. - Xiangyuan Zhang; Weichao Mao; Saviz Mowlavi; Mouhacine Benosman; Tamer Basar (L4DC, 2024)

Structure Matters: Dynamic Policy Gradient. - Sara Klein; Xiangyuan Zhang; Tamer Basar; Simon Weissmann; Leif Döring (CoRR, 2024)

Self-Supervised Marine Noise Learning with Sparse Autoencoder Network for Generative Target Magnetic Anomaly Detection. - Shigang Wang; Xiangyuan Zhang; Yifan Zhao; Haozi Yu; Bin Li (Remote. Sens., 2024)

Policy Optimization for PDE Control with a Warm Start. - Xiangyuan Zhang; Saviz Mowlavi; Mouhacine Benosman; Tamer Basar (ACC, 2025)

Decision Transformer as a Foundation Model for Partially Observable Continuous Control. - Xiangyuan Zhang; Weichao Mao; Haoran Qiu; Tamer Basar (ACC, 2025)