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An accelerated Newton-Dinkelbach method and its application to two variables per inequality systems

Dadush, Daniel; Koh, Zhuan Khye; Natura, Bento; Végh, … - In: Mathematics of operations research 48 (2023) 4, pp. 1934-1958

Persistent link: https://www.econbiz.de/10014437759

A unified algorithm framework for mean-variance optimization in discounted Markov decision processes

Ma, Shuai; Ma, Xiaoteng; Xia, Li - In: European journal of operational research : EJOR 311 (2023) 3, pp. 1057-1067

Persistent link: https://www.econbiz.de/10014440200

A Graph Reinforcement Learning Framework for Neural Adaptive Large Neighbourhood Search

Johnn, Syu-Ning; Darvariu, Victor-Alexandru; Handl, Julia; … - In: Computers & operations research : an international journal 172 (2024), pp. 1-18

Persistent link: https://www.econbiz.de/10015066770

Penalty-based algorithms for the stochastic obstacle scene problem

Aksakalli, Vural; Ari, Ibrahim - In: INFORMS journal on computing : JOC 26 (2014) 2, pp. 370-384

Persistent link: https://www.econbiz.de/10010362436

The value iteration algorithm is not strongly polynomial for discounted dynamic programming

Feinberg, Eugene A.; Huang, Jefferson - In: Operations research letters 42 (2014) 2, pp. 130-131

Persistent link: https://www.econbiz.de/10010364590

Modified policy iteration algorithms are not strongly polynomial for discounted dynamic programming

Feinberg, Eugene A.; Huang, Jefferson; Scherrer, Bruno - In: Operations research letters 42 (2014) 6/7, pp. 429-431

Persistent link: https://www.econbiz.de/10010428053

An AO* based exact algorithm for the Canadian traveler problem

Aksakalli, Vural; Sahin, O. Furkan; Ari, Ibrahim - In: INFORMS journal on computing : JOC 28 (2016) 1, pp. 96-111

Persistent link: https://www.econbiz.de/10011453792

Aggregating courier deliveries

Steele, Patrick R.; Henderson, Shane G.; Shmoys, David … - In: Naval research logistics : an international journal 65 (2018) 3, pp. 187-202

Persistent link: https://www.econbiz.de/10011969335

Accelerated decomposition techniques for large discounted Markov decision processes

Larach, Abdelhadi; Chafik, S.; Daoui, C. - In: Journal of industrial engineering international 13 (2017) 4, pp. 417-426

Many hierarchical techniques to solve large Markov decision processes (MDPs) are based on the partition of the state space into strongly connected components (SCCs) that can be classified into some levels. In each level, smaller problems named restricted MDPs are solved, and then these partial...

Persistent link: https://www.econbiz.de/10011765384

Solving finite-horizon discounted non-stationary MDPS

Bouchra, El Akraoui; Daoui, Cherki - In: Folia oeconomica Stetinensia : FOS 23 (2023) 1, pp. 1-15

Persistent link: https://www.econbiz.de/10014490028