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Computational methods for risk-averse undiscounted transient Markov models
Çavuş, Özlem; Ruszczyński, Andrzej P. - In: Operations research 62 (2014) 2, pp. 401-417
Persistent link: https://www.econbiz.de/10010361418
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Rectangular sets of probability measures
Shapiro, Alexander - In: Operations research 64 (2016) 2, pp. 528-541
Persistent link: https://www.econbiz.de/10011485624
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Quantile Markov decision processes
Li, Xiaocheng; Zhong, Huaiyang; Brandeau, Margaret L. - In: Operations research 70 (2022) 3, pp. 1428-1447
Persistent link: https://www.econbiz.de/10013366124
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Bayesian inventory control : accelerated demand learning via exploration boosts
Chuang, Ya-Tang; Kim, Michael Jong - In: Operations research 71 (2023) 5, pp. 1515-1529
Persistent link: https://www.econbiz.de/10014393149
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Bayesian exploration for approximate dynamic programming
Ryzhov, Ilya O.; Mes, Martijn; Powell, Warren B.; Van … - In: Operations research 67 (2019) 1, pp. 198-214
Persistent link: https://www.econbiz.de/10012000816
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Exploration and incentives in reinforcement learning
Simchowitz, Max; Slivkins, Aleksandrs - In: Operations research 72 (2024) 3, pp. 983-998
Persistent link: https://www.econbiz.de/10014556863
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Proximal reinforcement learning : efficient off-policy evaluation in partially observed markov decision processes
Bennett, Andrew; Kallus, Nathan - In: Operations research 72 (2024) 3, pp. 1071-1086
Persistent link: https://www.econbiz.de/10014557447
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Efficiently breaking the curse of horizon in off-policy evaluation with double reinforcement learning
Kallus, Nathan; Uehara, Masatoshi - In: Operations research 70 (2022) 6, pp. 3282-3302
Persistent link: https://www.econbiz.de/10014307802
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Advertising cycling to manage exclusivity loss in fashion styles
Bruce, Norris I.; Krishnamoorthy, Anand; Prasad, Ashutosh - In: Operations research 70 (2022) 6, pp. 3125-3142
Persistent link: https://www.econbiz.de/10014307649
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Surplus-invariant, law-invariant, and conic acceptance sets must be the sets induced by value at risk
He, Xue Dong; Peng, Xianhua - In: Operations research 66 (2018) 5, pp. 1268-1275
Persistent link: https://www.econbiz.de/10011932441