Search Results - computing system problems｜((rl algorithms) OR (((descent algorithm) OR (learning algorithms))))~ :: K.UTB vyhledávací portál

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A Hybrid Reinforcement Learning Algorithm for 2D Irregular Packing Problems

by Fang, Jie, Rao, Yunqing, Zhao, Xusheng, Du, Bing
Published in Mathematics (Basel) (01.01.2023)

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A linearly convergent doubly stochastic Gauss–Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems

by Razaviyayn, Meisam, Hong, Mingyi, Reyhanian, Navid, Luo, Zhi-Quan
Published in Mathematical programming (01.07.2019)

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Accelerated stochastic alternating mirror descent ascent algorithm for nonconvex-strongly concave minimax problems

by Zhao, Lulu, Liu, Yue, Liu, Yong-Jin
Published in Journal of applied mathematics & computing (01.10.2025)

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Traffic light control using deep policy-gradient and value-function-based reinforcement learning

by Mousavi, Seyed Sajad, Schukat, Michael, Howley, Enda
Published in IET intelligent transport systems (01.09.2017)

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Coordinate descent algorithms

by Wright, Stephen J.
Published in Mathematical programming (01.06.2015)

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Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods

by Attouch, Hedy, Bolte, Jérôme, Svaiter, Benar Fux
Published in Mathematical programming (01.02.2013)

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A novel learning algorithm based on computing the rules’ desired outputs of a TSK fuzzy neural network with non-separable fuzzy rules

by Salimi-Badr, Armin, Ebadzadeh, Mohammad Mehdi
Published in Neurocomputing (Amsterdam) (22.01.2022)

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An Improved Teaching-Learning-Based Optimization Algorithm with Reinforcement Learning Strategy for Solving Optimization Problems

by Wu, Di, Wang, Shuang, Liu, Qingxin, Abualigah, Laith, Jia, Heming
Published in Computational intelligence and neuroscience (24.03.2022)

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Unified reinforcement Q-learning for mean field game and control problems

by Angiuli, Andrea, Fouque, Jean-Pierre, Laurière, Mathieu
Published in Mathematics of control, signals, and systems (01.06.2022)

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Efficient gradient descent algorithm with anderson acceleration for separable nonlinear models

by Chen, Guang-Yong, Lin, Xin, Xue, Peng, Gan, Min
Published in Nonlinear dynamics (01.05.2025)

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Multi-agent Reinforcement Learning Aided Sampling Algorithms for a Class of Multiscale Inverse Problems

by Chung, Eric, Leung, Wing Tat, Pun, Sai-Mang, Zhang, Zecheng
Published in Journal of scientific computing (01.08.2023)

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Dual subgradient algorithms for large-scale nonsmooth learning problems

by Cox, Bruce, Juditsky, Anatoli, Nemirovski, Arkadi
Published in Mathematical programming (01.12.2014)

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An alternating structure-adapted Bregman proximal gradient descent algorithm for constrained nonconvex nonsmooth optimization problems and its inertial variant

by Gao, Xue, Cai, Xingju, Wang, Xiangfeng, Han, Deren
Published in Journal of global optimization (01.09.2023)

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A Greedy Randomized Block Coordinate Descent Algorithm with k-means Clustering for Solving Large Linear Least-squares Problems

by Zhang, Ke, Liu, Chun-Ting, Jiang, Xiang-Long
Published in IAENG international journal of computer science (01.05.2024)

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Distributed Communication-Sliding Mirror-Descent Algorithm for Nonsmooth Resource Allocation Problem

by Wang, Yinghui, Tu, Zhipeng, Qin, Huashu
Published in Journal of systems science and complexity (01.08.2022)

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A random coordinate descent algorithm for optimization problems with composite objective function and linear coupled constraints

by Necoara, Ion, Patrascu, Andrei
Published in Computational optimization and applications (01.03.2014)

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Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions

by Wang, Mengdi, Fang, Ethan X., Liu, Han
Published in Mathematical programming (01.01.2017)

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GPUSGD: A GPU-accelerated stochastic gradient descent algorithm for matrix factorization

by Jin, Jing, Lai, Siyan, Hu, Su, Lin, Jing, Lin, Xiaola
Published in Concurrency and computation (25.09.2016)

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A novel reinforcement learning-based multi-operator differential evolution with cubic spline for the path planning problem

by Reda, Mohamed, Onsy, Ahmed, Haikal, Amira Y., Ghanbari, Ali
Published in The Artificial intelligence review (24.02.2025)

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Use of learning classifier systems in microscopic toll plaza simulation models

by Bartin, Bekir
Published in IET intelligent transport systems (01.05.2019)

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