Results 151 to 160 of about 1,405,222 (160)
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2018 37th Chinese Control Conference (CCC), 2018
This paper considers the problem of minimizing the sum of convex functions over a network when each component function is known (with stochastic errors) to a specific network agent. We need to note that the objective function is strongly convex in this paper. To speed up computations we use adaptive approximate projections only requiring to move within
Ye Yuan, Xiangpeng Xie
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This paper considers the problem of minimizing the sum of convex functions over a network when each component function is known (with stochastic errors) to a specific network agent. We need to note that the objective function is strongly convex in this paper. To speed up computations we use adaptive approximate projections only requiring to move within
Ye Yuan, Xiangpeng Xie
openaire +1 more source
2005
The paper investigates a stochastic production scheduling problem with unrelated parallel machines. A closed-loop scheduling technique is presented that on-line controls the production process. To achieve this, the scheduling problem is reformulated as a special Markov Decision Process. A near-optimal control policy of the resulted MDP is calculated in
Balázs Csanád Csáji +1 more
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The paper investigates a stochastic production scheduling problem with unrelated parallel machines. A closed-loop scheduling technique is presented that on-line controls the production process. To achieve this, the scheduling problem is reformulated as a special Markov Decision Process. A near-optimal control policy of the resulted MDP is calculated in
Balázs Csanád Csáji +1 more
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Asynchronous stochastic approximation and adaptation in a competitive system
1999openaire +2 more sources
Centralized and Decentralized Asynchronous Optimization of Stochastic Discrete-Event Systems
IEEE Transactions on Automatic Control, 1998C G Cassandras
exaly
Distributed Asynchronous Deterministic and Stochastic Gradient Optimization Algorithms
IEEE Transactions on Automatic Control, 1986M Athans, D Bertsekas, J Tsitsiklis
exaly
Asynchronous Stochastic Approximation and Average-Reward Reinforcement Learning.
CoRRHuizhen Yu +2 more
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