Weiqin Chen

Weiqin Chen Ph.D. Candidate Department of Electrical, Computer, and Systems Engineering School of Engineering Rensselaer Polytechnic Institute Office: Jonsson Engineering Center Address: 110 8th Street, Troy, New York, 12180 E-mail: chenw18@rpi.edu;  weiqin.chen7@gmail.com Google Scholar LinkedIn

About me

I am a 4th-year PhD Candidate at Rensselaer Polytechnic Institute under the supervision of Prof. Santiago Paternain.

My current research interests lie at Reinforcement Learning, Optimization, Foundation Model, Control.

I am actively looking for a postdoctoral position starting from February 2026. Please feel free to reach out!

Recent news

• Jan. 2025: One paper has been accepted by ICLR 2025.
  Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search

• Dec. 2024: Two papers have been accepted by AAAI 2025 workshops at GenPlan (Spotlight) and AI+ORMS (Oral).
  Random Policy Enables In-Context Reinforcement Learning within Trust Horizons

  A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms

• Oct. 2024: One paper has been accepted by NeurIPS 2024 workshop at LanGame.
  PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making

• Jun. 2024: One paper has been accepted by ICML 2024 workshop at AutoRL.

• Apr. 2024: I am pleased to share that I have passed the Doctoral Candidacy Examination, under the supervision of Prof. Santiago Paternain, Prof. Tianyi Chen, Prof. Koushik Kar, and Dr. Dharmashankar Subramanian.

• Apr. 2024: One paper has been accepted by L4DC 2024.
  Generalized Constraint for Probabilistic Safe Reinforcement Learning

• Mar. 2024: One paper has been accepted by IEEE Transactions on Automatic Control.
  Probabilistic Constraint for Safety-Critical Reinforcement Learning

• Dec. 2023: I am honored to receive the 2023 Belsky Award for Computational Sciences and Engineering.

• Dec. 2023: One paper has been accepted by AAMAS 2024 (Oral).
  Adaptive Primal-Dual Method for Safe Reinforcement Learning

• May - Aug. 2023: I enjoyed the amazing internship at IBM Research (Thomas J. Watson Research Center).

• Jan. 2023: One paper has been accepted by CISS 2023 (Oral).
  Policy Gradients for Probabilistic Constrained Reinforcement Learning

• Nov. 2022: I am pleased to share that I have passed the Doctoral Qualifying Examination.

• Sept. 2021: I joined Rensselaer Polytechnic Institute to pursue a Ph.D. degree of Electrical Engineering.