Výsledky vyhledávání - "Xue, Jianyong"

Akademický článek

Study on the Influencing Factors of Multi-density E-waste Particle Separation Based on CPFD. (English)

Autor: XUE Jianyong, LIU Zhongbin, YANG Fan, DONG Zeyu, WANG Yalin, XIAO Mengzhuo

Publikováno v: Nonferrous Metals (Mineral Processing Section); Mar2024, Issue 3, p22-28, 7p

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Periodical

Compact intracavity-pumped Ho: YAG laser with near-diffraction-limited beam quality

Autor: Zhong, Nianbing, Yue, Yang, Han, Qingwen, Long, Qunlong, Gao, Jimeng, Xue, Jianyong, Mao, Yefei, Wang, Lei

Publikováno v: Proceedings of SPIE; February 2024, Vol. 13066 Issue: 1 p130660E-130660E-6, 1175947p

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Multi-task learning with modular reinforcement learning

Autor: Xue, Jianyong, Alexandre, Frédéric

Publikováno v: SAB 2022-16th International Conference on the Simulation of Adaptive Behavior
SAB 2022-16th International Conference on the Simulation of Adaptive Behavior, Sep 2022, Cergy-Pontoise / Virtual, France

International audience; The ability to learn compositional strategies in multi-task learning and to exert them appropriately is crucial to the development of artificial intelligence. However, there exist several challenges: (i) how to maintain the in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______165::e85ec9c50f1fccba3c89d480e5838efd
https://inria.hal.science/hal-03718157

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Akademický článek

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Architecture cognitive constructiviste : un modèle pour concevoir un agent automotivé capable de faire du sens et de construire des connaissances de l'environnement

Autor: Xue, Jianyong

Publikováno v: Neural and Evolutionary Computing [cs.NE]. Université de Lyon, 2020. English. ⟨NNT : 2020LYSE1242⟩

Infants are excellent at interacting with the environment. Especially in the initial phase of cognitive development, they exhibit amazing abilities to generate novel behaviors in unfamiliar situations, and explore actively to learn the best while lac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::484a9de6110bc05b67694a834111524f
https://tel.archives-ouvertes.fr/tel-03406086

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Generating Natural Behaviors using Constructivist Algorithms

Autor: GEORGEON, Olivier L., Robertson, Paul, Xue, Jianyong

Publikováno v: International Workshop on Self-Supervised Learning
International Workshop on Self-Supervised Learning, Feb 2020, Boston, United States. pp.5-14

International audience; We present a project to design interactive devices (smart displays, robots, etc.) capable of self-motivated learning through non-goal-directed interactive behaviors (e.g., curious, emotional, playful behaviors). We use and imp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e4e0aab344591f7d99e7626608118426
https://hal.archives-ouvertes.fr/hal-02930211

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A Constructivist Approach and Tool for Autonomous Agent Bottom-up Sequential Learning

Autor: Xue, Jianyong, GEORGEON, Olivier L., Hassas, Salima

Publikováno v: International Journal of Educational and Pedagogical Sciences
International Journal of Educational and Pedagogical Sciences, 2020, World Academy of Science, Engineering and Technology, 14 (10), pp.886-894

International audience; During the initial phase of cognitive development, infants exhibit amazing abilities to generate novel behaviors in unfamiliar situations, and explore actively to learn the best while lacking extrinsic rewards from the environ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::01fcdd1a9b3075471ff520e3cf1577fa
https://hal.archives-ouvertes.fr/hal-03104997

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Causality Reconstruction by an Autonomous Agent

Autor: Xue, Jianyong, GEORGEON, Olivier L., Guillermin, Mathieu

Publikováno v: Advances in Intelligent Systems and Computing
International Conference on Biologically Inspired Cognitive Architectures
International Conference on Biologically Inspired Cognitive Architectures, Aug 2018, Prague, Czech Republic. pp.347-354

International audience; Most AI algorithms consider input data as "percepts" that the agent receives from the environment. Constructivist epistemology, however, suggests an alternative approach that considers the algorithm's input data as feedback re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1bc95c79703ae95d9bbb15056897ff2a
https://hal.archives-ouvertes.fr/hal-01866197

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