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Reinforcement learning in economics and finance
Charpentier, Arthur; Élie, Romuald; Remlinger, Carl - In: Computational economics 62 (2023) 1, pp. 425-462
Persistent link: https://www.econbiz.de/10014327551
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Real-time dynamic pricing in a non-stationary environment using model-free reinforcement learning
Rana, Rupal; Oliveira, Fernando S. - In: Omega : the international journal of management science 47 (2014), pp. 116-126
Persistent link: https://www.econbiz.de/10010371675
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Approximated multi-agent fitted Q iteration
Lesage-Landry, Antoine; Callaway, Duncan S. - 2022
Persistent link: https://www.econbiz.de/10013166326
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Poisoning finite-horizon Markov decision processes at design time
Caballero, William N.; Jenkins, Phillip R.; Keith, Andrew J. - In: Computers & operations research : and their … 129 (2021), pp. 1-17
Persistent link: https://www.econbiz.de/10012494746
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Reinforcement learning in robust Markov decision processes
Lim, Shiau Hong; Xu, Huan; Mannor, Shie - In: Mathematics of operations research 41 (2016) 4, pp. 1325-1353
Persistent link: https://www.econbiz.de/10011595063
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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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Optimistic posterior sampling for reinforcement learning : worst-case regret bounds
Agrawal, Shipra; Jia, Randy - In: Mathematics of operations research 48 (2023) 1, pp. 363-392
Persistent link: https://www.econbiz.de/10014312555
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Real-time integrated learning and decision making for cumulative shock degradation
Drent, Collin; Drent, Melvin; Arts, Joachim; … - In: Manufacturing & service operations management : M & SOM 25 (2023) 1, pp. 235-253
Persistent link: https://www.econbiz.de/10014299591
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Learning and behavioral stability : an economic interpretation of genetic algorithms
Riechmann, Thomas - 1998
metaphor for social learning. This paper will face the question what an economist can learn from the mathematical branch of … algorithm learning is a compound of three different learning schemes. First, every particular scheme is analyzed. Then it will … be pointed out that it is the combination of the three schemes that gives genetic algorithm learning its special flair: A …
Persistent link: https://www.econbiz.de/10011526384
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Regime switching, learning, and the great moderation
Murray, James (contributor) - 2008
Persistent link: https://www.econbiz.de/10003738437