Controlling a robotic stereo camera under image quantization noise. - Charles Freundlich; Yan Zhang 043; Alex Zihao Zhu; Philippos Mordohai; Michael M. Zavlanos (Int. J. Robotics Res., 2017)

A Consensus-Based Distributed Augmented Lagrangian Method. - Yan Zhang 043; Michael M. Zavlanos (CDC, 2018)

Distributed Hierarchical Control for State Estimation With Robotic Sensor Networks. - Charles Freundlich; Yan Zhang 043; Michael M. Zavlanos (IEEE Trans. Control. Netw. Syst., 2018)

A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret. - Yan Zhang 043; Robert J. Ravier; Michael M. Zavlanos; Vahid Tarokh (CDC, 2019)

Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus. - Yan Zhang 043; Michael M. Zavlanos (CDC, 2019)

Reduced variance deep reinforcement learning with temporal logic specifications. - Qitong Gao; Davood Hajinezhad; Yan Zhang 043; Yiannis Kantaros; Michael M. Zavlanos (ICCPS, 2019)

Transfer Reinforcement Learning under Unobserved Contextual Information. - Yan Zhang 043; Michael M. Zavlanos (ICCPS, 2020)

Socially-Aware Robot Planning via Bandit Human Feedback. - Xusheng Luo; Yan Zhang 043; Michael M. Zavlanos (ICCPS, 2020)

Augmented Lagrangian optimization under fixed-point arithmetic. - Yan Zhang 043; Michael M. Zavlanos (Autom., 2020)

Improving the Convergence Rate of One-Point Zeroth-Order Optimization using Residual Feedback. - Yan Zhang 043; Yi Zhou 017; Kaiyi Ji; Michael M. Zavlanos (CoRR, 2020)

Cooperative Multi-Agent Reinforcement Learning with Partial Observations. - Yan Zhang 043; Michael M. Zavlanos (CoRR, 2020)

Boosting One-Point Derivative-Free Online Optimization via Residual Feedback. - Yan Zhang 043; Yi Zhou 017; Kaiyi Ji; Michael M. Zavlanos (CoRR, 2020)

Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback. - Yi Shen 011; Yan Zhang 043; Scott Nivison; Zachary I. Bell; Michael M. Zavlanos (CDC, 2021)

Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback. - Yijie Zhou; Yan Zhang 043; Xusheng Luo; Michael M. Zavlanos (CDC, 2021)

Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning. - Chenyu Liu; Yan Zhang 043; Yi Shen 011; Michael M. Zavlanos (L4DC, 2021)

Formal Verification of Stochastic Systems with ReLU Neural Network Controllers. - Shiqi Sun; Yan Zhang 043; Xusheng Luo; Panagiotis Vlantis; Miroslav Pajic; Michael M. Zavlanos (ICRA, 2022)

A new one-point residual-feedback oracle for black-box learning and control. - Yan Zhang 043; Yi Zhou 017; Kaiyi Ji; Michael M. Zavlanos (Autom., 2022)

Transfer Reinforcement Learning in Heterogeneous Action Spaces using Subgoal Mapping. - Kavinayan P. Sivakumar; Yan Zhang 043; Zachary I. Bell; Scott Nivison; Michael M. Zavlanos (CoRR, 2024)

Cooperative Multiagent Reinforcement Learning With Partial Observations. - Yan Zhang 043; Michael M. Zavlanos (IEEE Trans. Autom. Control., 2024)

Boosting One-Point Derivative-Free Online Optimization via Residual Feedback. - Yan Zhang 043; Yi Zhou 017; Kaiyi Ji; Yi Shen 011; Michael M. Zavlanos (IEEE Trans. Autom. Control., 2024)