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Losing from naive reinforcement learning : a survival analysis of individual repurchase decisions
Jiao, Peiran - 2015
Persistent link: https://www.econbiz.de/10011414783
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A reinforcement learning based approach for multi-projects scheduling in cloud manufacturing
Chen, Shengkai; Fanga, Shuiliang; Tang, Renzhong - In: International journal of production research 57 (2019) 10, pp. 3080-3098
Persistent link: https://www.econbiz.de/10012193243
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Simulated annealing with improved reheating and learning for the post enrolment course timetabling problem
Say Leng Goh; Kendall, Graham; Sabar, Nasser R. - In: Journal of the Operational Research Society 70 (2019) 6, pp. 873-888
Persistent link: https://www.econbiz.de/10012213019
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The weight of personal experience : an experimental measurement
Miller, Joshua; Maniadis, Zacharias - 2012 - This version: August 31, 2012
Persistent link: https://www.econbiz.de/10011817848
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Hedging using reinforcement learning : contextual k-armed bandit versus Q-learning
Cannelli, Loris; Nuti, Giuseppe; Sala, Marzio; Szehr, Oleg - In: The Journal of finance and data science : JFDS 9 (2023), pp. 1-22
Network systems and variations of the Q-learning algorithm. From a practical point of view, sufficient samples for training … Profit and Loss formulation of hedging, providing for a more accurate and sample efficient approach than Q-learning and …
Persistent link: https://www.econbiz.de/10014513986
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A reinforcement learning algorithm for trading commodities
Giorgi, Federico; Herzel, Stefano; Pigato, Paolo - 2023
Persistent link: https://www.econbiz.de/10014249143
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Portfolio constructions in cryptocurrency market : a CVaR-based deep reinforcement learning approach
Cui, Tianxiang; Ding, Shusheng; Jin, Huan; Zhang, Yongmin - In: Economic modelling 119 (2023), pp. 1-9
Persistent link: https://www.econbiz.de/10014249655
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A reinforcement learning algorithm for rescheduling preempted tasks in fog nodes
Nair, Biji; Saira Bhanu, S. Mary - In: Journal of scheduling : JOS 25 (2022) 5, pp. 547-565
Persistent link: https://www.econbiz.de/10013453915
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Online model-based reinforcement learning for decision-making in long distance routes
Alcaraz, Juan J.; Losilla, Fernando; … - In: Transportation research / E : an international journal 164 (2022), pp. 1-21
Persistent link: https://www.econbiz.de/10013366767
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Deep differentiable reinforcement learning and optimal trading
Jaisson, Thibault - In: Quantitative finance 22 (2022) 8, pp. 1429-1443
Persistent link: https://www.econbiz.de/10013367918