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On boundedness of Q-learning iterates for stochastic shortest path problems
Yu, Huizhen; Bertsekas, Dimitri P. - In: Mathematics of operations research 38 (2013) 2, pp. 209-227
Persistent link: https://www.econbiz.de/10009751534
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Dynamic pricing under competition using reinforcement learning
Kastius, Alexander; Schlosser, Rainer - In: Journal of revenue and pricing management 21 (2022) 1, pp. 50-63
Persistent link: https://www.econbiz.de/10013163738
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Applying reinforcement learning to estimating apartment reference rents
Wang, Jian; Das, Murtaza; Tappert, Stephen - In: Journal of revenue and pricing management 20 (2021) 3, pp. 330-343
Persistent link: https://www.econbiz.de/10012549345
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Learning competitive dynamic airline pricing under different customer models
Collins, Andrew J.; Thomas, Lyn C. - In: Journal of revenue and pricing management 12 (2013) 5, pp. 416-430
Persistent link: https://www.econbiz.de/10010188651
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Reinforcement learning applied to airline revenue management
Bondoux, Nicolas; Nguyen, Anh Quan; Fiig, Thomas; … - In: Journal of revenue and pricing management 19 (2020) 5, pp. 332-348
Persistent link: https://www.econbiz.de/10012297967
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Learning in games via reinforcement and regularization
Mertikopoulos, Panayotis; Sandholm, William H. - In: Mathematics of operations research 41 (2016) 4, pp. 1297-1324
Persistent link: https://www.econbiz.de/10011595060
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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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Efficient reinforcement learning in deterministic systems with value function generalization
Wen, Zheng; Van Roy, Benjamin - In: Mathematics of operations research 42 (2017) 3, pp. 762-782
Persistent link: https://www.econbiz.de/10011742485
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Risk-averse approximate dynamic programming with quantile-based risk measures
Jiang, Daniel R.; Powell, Warren B. - In: Mathematics of operations research 43 (2018) 2, pp. 554-579
Persistent link: https://www.econbiz.de/10011868618
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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