Yan Zhang

According to our database, Yan Zhang authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Boosting One-Point Derivative-Free Online Optimization via Residual Feedback.

Yan Zhang, Yi Zhou, Kaiyi Ji, Yi Shen, Michael M. Zavlanos

IEEE Trans. Autom. Control., September, 2024

Cooperative Multiagent Reinforcement Learning With Partial Observations.

Yan Zhang, Michael M. Zavlanos

IEEE Trans. Autom. Control., February, 2024

Transfer Reinforcement Learning in Heterogeneous Action Spaces using Subgoal Mapping.

Kavinayan P. Sivakumar, Yan Zhang, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos

CoRR, 2024

2022

A new one-point residual-feedback oracle for black-box learning and control.

Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos

Autom., 2022

Formal Verification of Stochastic Systems with ReLU Neural Network Controllers.

Shiqi Sun, Yan Zhang, Xusheng Luo, Panagiotis Vlantis, Miroslav Pajic, Michael M. Zavlanos

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning.

Chenyu Liu, Yan Zhang, Yi Shen, Michael M. Zavlanos

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback.

Yijie Zhou, Yan Zhang, Xusheng Luo, Michael M. Zavlanos

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback.

Yi Shen, Yan Zhang, Scott Nivison, Zachary I. Bell, Michael M. Zavlanos

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Boosting One-Point Derivative-Free Online Optimization via Residual Feedback.

Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos

CoRR, 2020

Cooperative Multi-Agent Reinforcement Learning with Partial Observations.

Yan Zhang, Michael M. Zavlanos

CoRR, 2020

Improving the Convergence Rate of One-Point Zeroth-Order Optimization using Residual Feedback.

Yan Zhang, Yi Zhou, Kaiyi Ji, Michael M. Zavlanos

CoRR, 2020

Augmented Lagrangian optimization under fixed-point arithmetic.

Yan Zhang, Michael M. Zavlanos

Autom., 2020

Socially-Aware Robot Planning via Bandit Human Feedback.

Xusheng Luo, Yan Zhang, Michael M. Zavlanos

Proceedings of the 11th ACM/IEEE International Conference on Cyber-Physical Systems, 2020

Transfer Reinforcement Learning under Unobserved Contextual Information.

Yan Zhang, Michael M. Zavlanos

Proceedings of the 11th ACM/IEEE International Conference on Cyber-Physical Systems, 2020

2019

Reduced variance deep reinforcement learning with temporal logic specifications.

Qitong Gao, Davood Hajinezhad, Yan Zhang, Yiannis Kantaros, Michael M. Zavlanos

Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019

Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus.

Yan Zhang, Michael M. Zavlanos

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret.

Yan Zhang, Robert J. Ravier, Michael M. Zavlanos, Vahid Tarokh

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Distributed Hierarchical Control for State Estimation With Robotic Sensor Networks.

Charles Freundlich, Yan Zhang, Michael M. Zavlanos

IEEE Trans. Control. Netw. Syst., 2018

A Consensus-Based Distributed Augmented Lagrangian Method.

Yan Zhang, Michael M. Zavlanos

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Controlling a robotic stereo camera under image quantization noise.

Charles Freundlich, Yan Zhang, Alex Zihao Zhu, Philippos Mordohai, Michael M. Zavlanos

Int. J. Robotics Res., 2017