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Publications

Journals

  • Weiqin Chen, Dharmashankar Subramanian, Santiago Paternain. “Probabilistic Constraint for Safety-Critical Reinforcement Learning”, IEEE Transactions on Automatic Control, vol: 69, issue: 10, October 2024 (To appear).

  • Xue Zhang, Lei Wang, Weiqin Chen, Xue-Min Yao, Xin Wang, Yin-Chuan Zhao. "Dynamics of transformed nonlinear waves in the (3+1)-dimensional B-type Kadomtsev–Petviashvili equation I: Transitions mechanisms", Communications in Nonlinear Science and Numerical Simulation 105, 106070.

  • Agnieszka Ochman, Weiqin Chen, Przemysław Błasiak, Michał Pomorski, Sławomir Pietrowicz. "The Use of Capsuled Paraffin Wax in Low-Temperature Thermal Energy Storage Applications: An Experimental and Numerical Investigation", Energies 14 (3), 538.

  • Weiqin Chen, Qingfeng Guan, Chao-Fan Jiang, Fei-Fan Zhang, Lei Wang. "Nonautonomous motion study on accelerated and decelerated lump waves for a (3+1)-dimensional generalized shallow water wave equation with variable coefficients", Complexity, 1-8.

  • Feipeng Chen, Weiqin Chen, Lei Wang, Zhen-Jun Ye. "Nonautonomous characteristics of lump solutions for a (2+1)-dimensional Korteweg–de Vries equation with variable coefficients", Applied Mathematics Letters 96, 33-39.

Conferences

  • Weiqin Chen and Santiago Paternain, “Generalized Safe Reinforcement Learning”, In Proc. 6th Annual Learning for Dynamics and Control Conference, Oxford, UK July 15-17, 2024.

  • Weiqin Chen, James Onyejizu, Long Vu, Lan Hoang, Dharmashankar Subramanian, Koushik Kar, Sandipan Mishra and Santiago Paternain, “Adaptive Primal-Dual Method for Safe Reinforcement Learning”, In The 23rd International Conference on Autonomous Agents and Multi-Agent Systems, Auckland, New Zeland, May 6-10, 2024.

  • Weiqin Chen, Darmashankar Subramanian and Santiago Paternain, “Policy Gradients for Probabilistic Constrained Reinforcement Learning,” 57th Annual Conference on Information Sciences and Systems (CISS), pp. 1-6, Baltimore, MD, USA, March 22-24, 2023.

Preprints

  • Weiqin Chen, Mishra, S., & Paternain, S. (2024). Domain Adaptation for Offline Reinforcement Learning with Limited Samples. arXiv preprint arXiv:2408.12136.

  • Weiqin Chen, Squillante, M. S., Wu, C. W., & Paternain, S. (2024). A General Control-Theoretic Approach for Reinforcement Learning: Theory and Algorithms. arXiv preprint arXiv:2406.14753.

  • Light, J., Cai, M., Weiqin Chen, Wang, G., Chen, X., Cheng, W., ... & Hu, Z. (2024). Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search. arXiv preprint arXiv:2408.10635.

  • Qingfeng Guan, Weiqin Chen, Ying Li. "Numerical simulation for the motions of nonautonomous solitary waves of a variable-coefficient forced Burgers equation via the lattice Boltzmann method".