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Reliable off-policy evaluation for reinforcement learning
Wang, Jie; Gao, Rui; Zha, Hongyuan - In: Operations research 72 (2024) 2, pp. 699-716
Persistent link: https://www.econbiz.de/10014520884
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Improving reinforcement learning algorithms : towards optimal learning rate policies
Mounjid, Othmane; Lehalle, Charles-Albert - In: Mathematical finance : an international journal of … 34 (2024) 2, pp. 588-621
Persistent link: https://www.econbiz.de/10014514797
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Provably efficient reinforcement learning with linear function approximation
Jin, Chi; Yang, Zhuoran; Wang, Zhaoran; Jordan, Michael … - In: Mathematics of operations research 48 (2023) 3, pp. 1496-1521
Persistent link: https://www.econbiz.de/10014329343
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A general deep reinforcement learning hyperheuristic framework for solving combinatorial optimization problems
Kallestad, Jakob; Hasibi, Ramin; Hemmati, Ahmad; … - In: European journal of operational research : EJOR 309 (2023) 1, pp. 446-468
Persistent link: https://www.econbiz.de/10014290590
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Optimal investment in ambiguous financial markets with learning
Bäuerle, Nicole; Mahayni, Antje - In: European journal of operational research : EJOR 315 (2024) 1, pp. 393-410
Persistent link: https://www.econbiz.de/10014562844
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Learning driven three-phase search for the maximum independent union of cliques problem
Lu, Zhi; Gao, Jian; Hao, Jin-Kao; Yang, Pingle; Zhou, Lixin - In: Computers & operations research : an international journal 164 (2024), pp. 1-16
Persistent link: https://www.econbiz.de/10014563034
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Scheduling jobs using queries to interactively learn human availability times
Varga, Johannes; Raidl, Günther; Rönnberg, Elina; … - In: Computers & operations research : an international journal 167 (2024), pp. 1-12
Persistent link: https://www.econbiz.de/10014565062
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Learning generalized strong branching for set covering, set packing, and 0-1 knapsack problems
Yang, Yu; Boland, Natashia; Dilkina, Bistra; … - In: European journal of operational research : EJOR 301 (2022) 3, pp. 828-840
Persistent link: https://www.econbiz.de/10013267791
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Efficient and sparse neural networks by pruning weights in a multiobjective learning approach
Reiners, Malena; Klamroth, Kathrin; Heldmann, Fabian; … - In: Computers & operations research : and their … 141 (2022), pp. 1-16
Persistent link: https://www.econbiz.de/10013185139
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Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles
Brammer, Janis; Lutz, Bernhard; Neumann, Dirk - In: OR spectrum : quantitative approaches in management 44 (2022) 1, pp. 29-56
Persistent link: https://www.econbiz.de/10013172601