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A Multi-Armed Bandit Model Selection for Cold-Start User Recommendation.

, , , и . UMAP, стр. 32-40. ACM, (2017)

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Philippe Destouches

Philippe Staib

Philippe Kersting

Philippe Dreuw

Philippe Zysset

 

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Preference-Like Score to Cope with Cold-Start User in Recommender Systems., , , и . ICTAI, стр. 62-69. IEEE Computer Society, (2016)A Multi-Armed Bandit Model Selection for Cold-Start User Recommendation., , , и . UMAP, стр. 32-40. ACM, (2017)A generic architecture for adaptive agents based on reinforcement learning., , и . Inf. Sci., 161 (1-2): 37-55 (2004)Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques., , и . ICML, том 32 из JMLR Workshop and Conference Proceedings, стр. 172-180. JMLR.org, (2014)Consistent Algorithms for Clustering Time Series., , , и . J. Mach. Learn. Res., (2016)"I'm sorry Dave, I'm afraid I can't do that" Deep Q-learning from forbidden action., , и . CoRR, (2019)Reinforcement learning for crop management support: Review, prospects and challenges., , , , и . Comput. Electron. Agric., (2022)Soft Action Priors: Towards Robust Policy Transfer., и . CoRR, (2022)gym-DSSAT: a crop model turned into a Reinforcement Learning environment., , , , , и . CoRR, (2022)General System Architecture and COTS Prototyping of an AIoT-Enabled Sailboat for Autonomous Aquatic Ecosystem Monitoring., , , , , , , , и . IEEE Internet Things J., 11 (3): 3801-3811 (февраля 2024)