Mingyu Cai

发表

An Ultra-Reliable Low-Latency Non-Binary Polar Coded SCMA Scheme

Shufeng Li, Mingyu Cai, Libiao Jin, 2021, IEEE Transactions on Vehicular Technology.

Overcoming Exploration: Deep Reinforcement Learning in Complex Environments from Temporal Logic Specifications

C. Belta, C. Vasile, Mingyu Cai, 2022, ArXiv.

Learning Minimally-Violating Continuous Control for Infeasible Linear Temporal Logic Specifications

Zachary T. Serlin, Kevin J. Leahy, C. Vasile, 2022, ArXiv.

Safety-Critical Learning of Robot Control with Temporal Logic Specifications

C. Vasile, Mingyu Cai, 2021, 2109.02791.

Efficient LQR-CBF-RRT*: Safe and Optimal Motion Planning

C. Belta, Roberto Tron, Mingyu Cai, 2023, 2304.00790.

Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments From Temporal Logic Specifications

C. Belta, C. Vasile, Mingyu Cai, 2022, IEEE Robotics and Automation Letters.

Learning Minimally-Violating Continuous Control for Infeasible Linear Temporal Logic Specifications

Zachary T. Serlin, Kevin J. Leahy, C. Vasile, 2022, 2023 American Control Conference (ACC).

Overcoming Exploration: Deep Reinforcement Learning in Complex Environments from Temporal Logic Specifications

C. Belta, C. Vasile, Mingyu Cai, 2022, ArXiv.

Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments

Z. Kan, Mingyu Cai, Shaoping Xiao, 2023, ArXiv.

Optimal Probabilistic Motion Planning With Potential Infeasible LTL Constraints

Zhen Kan, Zhijun Li, Mingyu Cai, 2020, IEEE Transactions on Automatic Control.

Modular Deep Reinforcement Learning for Continuous Motion Planning With Temporal Logic

A. Abate, Z. Kan, Mohammadhosein Hasanbeig, 2021, IEEE Robotics and Automation Letters.

Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction

Zhen Kan, Mingyu Cai, Shaoping Xiao, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Online Motion Planning With Soft Metric Interval Temporal Logic in Unknown Dynamic Environment

Zhen Kan, Mingyu Cai, Shaoping Xiao, 2021, IEEE Control Systems Letters.

Learning-Based Probabilistic LTL Motion Planning With Environment and Motion Uncertainties

Zhen Kan, Zhijun Li, Hao Peng, 2021, IEEE Transactions on Automatic Control.

Safe reinforcement learning under temporal logic with reward design and quantum action selection

Z. Kan, Mingyu Cai, Shaoping Xiao, 2023, Scientific Reports.

Model-based motion planning in POMDPs with temporal logic specifications

Mingyu Cai, Shaoping Xiao, Junchao Li, 2023, Adv. Robotics.

Receding Horizon Control-Based Motion Planning With Partially Infeasible LTL Constraints

Zhen Kan, Zhijun Li, Hao Peng, 2020, IEEE Control Systems Letters.

Time-Incremental Learning of Temporal Logic Classifiers Using Decision Trees

C. Belta, C. Vasile, Mingyu Cai, 2023, L4DC.

Reinforcement learning-based motion planning in partially observable environments under ethical constraints

Mingyu Cai, Shaoping Xiao, Junchao Li, 2024, AI and Ethics.