Search Results for author: Xian Yu

Found 4 papers, 0 papers with code

Kernel-based Regularized Iterative Learning Control of Repetitive Linear Time-varying Systems

no code implementations7 Mar 2023 Xian Yu, Xiaozhu Fang, Biqiang Mu, Tianshi Chen

For data-driven iterative learning control (ILC) methods, both the model estimation and controller design problems are converted to parameter estimation problems for some chosen model structures.

On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures

no code implementations26 Jan 2023 Xian Yu, Lei Ying

Risk-sensitive reinforcement learning (RL) has become a popular tool to control the risk of uncertain outcomes and ensure reliable performance in various sequential decision-making problems.

Decision Making Policy Gradient Methods +1

Risk-Averse Reinforcement Learning via Dynamic Time-Consistent Risk Measures

no code implementations14 Jan 2023 Xian Yu, Siqian Shen

We adapt the Expected Conditional Risk Measures (ECRMs) to the infinite-horizon risk-averse MDP and prove its time consistency.

Q-Learning reinforcement-learning +1

An Optimization-and-Simulation Framework for Redesigning University Campus Bus System with Social Distancing

no code implementations20 Oct 2020 Gongyu Chen, Xinyu Fei, Huiwen Jia, Xian Yu, Siqian Shen

The outbreak of coronavirus disease 2019 (COVID-19) has led to significant challenges for schools, workplaces and communities to return to operations during the pandemic, requiring policymakers to balance individuals' safety and operational efficiency.

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