Learning to Optimize via Posterior Sampling von Russo, Daniel, Van Roy, Benjamin

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Efficient Reinforcement Learning in Deterministic Systems with Value Function Generalization von Wen, Zheng, Van Roy, Benjamin

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A statistical–dynamical downscaling methodology for the urban heat island applied to the EURO-CORDEX ensemble von Le Roy, Benjamin, Lemonsu, Aude, Schoetter, Robert

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Dynamic Pricing with a Prior on Market Response von Farias, Vivek F., Van Roy, Benjamin

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Markov Perfect Industry Dynamics With Many Firms von Weintraub, Gabriel Y., Benkard, C. Lanier, Van Roy, Benjamin

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Joyce/Shakespeare: A Room of Infinite Possibilities von Benjamin, Roy

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Learning to Optimize via Information-Directed Sampling von Russo, Daniel, Van Roy, Benjamin

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Long time series spatialized data for urban climatological studies: A case study of Paris, France von Le Roy, Benjamin, Lemonsu, Aude, Kounkou‐Arnaud, Raphaëlle, Brion, Denis, Masson, Valéry

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Manipulation Robustness of Collaborative Filtering von Van Roy, Benjamin, Yan, Xiang

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Intermediated Blind Portfolio Auctions von Padilla, Michael, Van Roy, Benjamin

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Performance Assessment of an Air-Type BIPVT Collector with Perforated Baffles through Indoor and Outdoor Experiments von Kim, Jin-Hee, Yu, Ji-Suk, Gaucher-Loksts, Erin, Roy, Benjamin, Delisle, Véronique, Kim, Jun-Tae

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Flanking residues are central to DO11.10 T cell hybridoma stimulation by ovalbumin 323-339 von Roy, Benjamin M, Zhukov, Dmitriy V, Maynard, Jennifer A

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Adherence to unsupervised exercise in sedentary individuals: A randomised feasibility trial of two mobile health interventions von Bannell, Daniel J, France-Ratcliffe, Madeleine, Buckley, Benjamin James Roy, Crozier, Anthony, Davies, Andrew P, Hesketh, Katie L., Jones, Helen, Cocks, Matthew, Sprung, Victoria S

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Learning a factor model via regularized PCA von Kao, Yi-Hao, Van Roy, Benjamin

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Directed Principal Component Analysis von Kao, Yi-Hao, Van Roy, Benjamin

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Performance Loss Bounds for Approximate Value Iteration with State Aggregation von Van Roy, Benjamin

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Satisficing in Time-Sensitive Bandit Learning von Russo, Daniel, Van Roy, Benjamin

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Portfolio selection with qualitative input von Chiarawongse, Anant, Kiatsupaibul, Seksan, Tirapat, Sunti, Roy, Benjamin Van

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Bayesian Reinforcement Learning With Limited Cognitive Load von Arumugam, Dilip, Ho, Mark K., Goodman, Noah D., Van Roy, Benjamin

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Computational Methods for Oblivious Equilibrium von Weintraub, Gabriel Y., Benkard, C. Lanier, Van Roy, Benjamin

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