In this paper, we are concerned with the sequence quadratic programming (SQP) methods for solving constrained optimization problems., 利用二次规划技术,给出线性约束最优化问题的一个超线性收敛的可行方向法。 2025-11-02 07:43:39 Myers (in ...
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Abstract: Safe reinforcement learning (RL) aims to optimize the task performance with safety guarantees. One common modeling scheme to study safe RL problems is the constrained Markov decision process ...
The findings reveal that digital leadership directly enhances sustainable innovation, demonstrating a strong positive ...
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Abstract: Real-world production scenarios often involve multiobjective optimization problems with intricate constraints. Although there has been a growing interest in multiobjective problems with ...
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