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Intelligent dynamic control of stochastic economic lot scheduling by agent-based reinforcement learning

Wang, Jiao; Li, Xueping; Zhu, Xiaoyan - In: International journal of production research 50 (2012) 16, pp. 4381-4395

Persistent link: https://www.econbiz.de/10009621221

On boundedness of Q-learning iterates for stochastic shortest path problems

Yu, Huizhen; Bertsekas, Dimitri P. - In: Mathematics of operations research 38 (2013) 2, pp. 209-227

Persistent link: https://www.econbiz.de/10009751534

Endogenous risks and learning in climate change decision analysis

O'Neill, Brian C.; Ermolʹev, Jurij M.; Ermol'eva, … - In: Coping with uncertainty : modeling and policy issues, (pp. 283-300). 2006

Persistent link: https://www.econbiz.de/10003394897

Dynamic pricing and learning with finite inventories

Boer, Arnoud V. den; Zwart, Bert - In: Operations research 63 (2015) 4, pp. 965-978

Persistent link: https://www.econbiz.de/10011313165

Optimal information blending with measurements in the L2 sphere

Defourny, Boris; Ryzhov, Ilya O.; Powell, Warren B. - In: Mathematics of operations research 40 (2015) 4, pp. 1060-1088

Persistent link: https://www.econbiz.de/10011409051

A unified framework for stochastic optimization

Powell, Warren B. - In: European journal of operational research : EJOR 275 (2019) 3, pp. 795-821

Persistent link: https://www.econbiz.de/10011993597

Stochastic single-machine scheduling with learning effect

Li, Haitao - In: IEEE transactions on engineering management : EM 64 (2017) 1, pp. 94-102

Persistent link: https://www.econbiz.de/10011649399

Learning to schedule heuristics for the simultaneous stochastic optimization of mining complexes

Yaakoubi, Yassine; Dimitrakopoulos, Roussos - In: Computers & operations research : and their … 159 (2023), pp. 1-16

Persistent link: https://www.econbiz.de/10014455624

Surrogate-assisted cooperative learning genetic programming for the resource-constrained project scheduling problem with stochastic activity durations and transfer times

Zhang, Haohua; Demeulemeester, Erik; Li, Lubo; Bai, Sijun - In: Computers & operations research : an international journal 173 (2025), pp. 1-16

Persistent link: https://www.econbiz.de/10015100952

Stochastic Gradient Versus Recursive Least Squares Learning

Slobodyan, Sergey - 2008

In this paper, we perform an in - depth investigation of relative merits of two adaptive learning algorithms with constant gain, Recursive Least Squares (RLS) and Stochastic Gradient (SG), using the Phelps model of monetary policy as a testing ground. The behavior of the two learning algorithms...

Persistent link: https://www.econbiz.de/10012724434