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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

Dynamic pricing under competition using reinforcement learning

Kastius, Alexander; Schlosser, Rainer - In: Journal of revenue and pricing management 21 (2022) 1, pp. 50-63

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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

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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

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

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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

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

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

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

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METABOLIC COST AS AN ORGANIZING PRINCIPLE FOR COOPERATIVE LEARNING

BALDUZZI, DAVID; ORTEGA, PEDRO A.; BESSERVE, MICHEL - In: Advances in Complex Systems (ACS) 16 (2013) 02, pp. 1350012-1

This article investigates how neurons can use metabolic cost to facilitate learning at a population level. Although decision-making by individual neurons has been extensively studied, questions regarding how neurons should behave to cooperate effectively remain largely unaddressed. Under...

Persistent link: https://www.econbiz.de/10011010830