陆俊骐 ☕️
陆俊骐 Lu Jun Qi

Undergraduate Student / Researcher

Beijing Institute of Technology

About Me

I have completed a Bachelor’s degree in Mathematics and am now pursuing a second Bachelor degree in Computer Science at the Beijing Institute of Technology.

My core research interest is centered on Markov Decision Process (MDP) and Deep Reinforcement Learning (DRL). My work primarily spans two key areas:

  1. DRL Applications: Applying DRL methods to solve complex, real-world optimization problems, such as critical mission termination and system maintenance strategies in reliability engineering.
  2. DRL Algorithms: Advancing core algorithmic efficiency and robustness, focusing specifically on State Representation Learning to enhance model generalization and sample efficiency.

I am passionate about developing methods that are both theoretically rigorous and practically applicable. I am currently seeking graduate opportunities (M.S. and Ph.D.) in related fields and welcome opportunities for academic collaboration.

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Interests
  • Reinforcement Learning
  • Reliability Engineering
  • Representation Learning
  • Mathematical Modeling
Education

  • B.S. in Computer Science and Technology

    Beijing Institute of Technology

  • B.S. in Mathematics and Applied Mathematics

    Beijing Institute of Technology

My Research

My research work centers on applying Markov Decision Processes (MDP) and Deep Reinforcement Learning (DRL) to complex decision-making and algorithmic improvement.

As a research assistant in Professor Li Xin’s Reinforcement Learning Group, I focus on developing advanced DRL algorithms, including improving model efficiency and generalization through Bisimulation Metrics and robust state representation learning.

In collaboration with Professor Qingan Qiu, I address reliability-based engineering decision-making under uncertainty. This work has resulted in a first-author publication, with ongoing efforts focused on extending the MDP framework using RL.

I am passionate about advancing methods that are both theoretically sound and practically applicable to real-world problems. I welcome opportunities for academic collaboration. 🤝

Featured Publications
Recent Publications
Junqi Lu, Bosen Liu, Cuicui Pei, Qingan Qiu, Li Yang (2025). Learning to optimize termination decisions under hybrid uncertainty of system lifetime and task duration. Computers & Industrial Engineering.
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