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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 (To appear).
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 (To appear).
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
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