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Documenting Geographically and Contextually Diverse Data Sources: The BigScience Catalogue of Language Data and Resources
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In: https://hal.inria.fr/hal-03550289 ; 2022 (2022)
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An Overview of Indian Spoken Language Recognition from Machine Learning Perspective
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In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022)
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A gentle introduction to Girard's Transcendental Syntax for the linear logician
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In: https://hal.archives-ouvertes.fr/hal-02977750 ; 2022 (2022)
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Similarity between person roles in a card sorting experiment ...
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FAIRsharing record for: General Ontology for Linguistic Description ... : GOLD ...
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How ISO C became unusable for operating systems development ...
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A new genus of land planarian (Platyhelminthes, Geoplanidae) for a new ‘blind’ species ...
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A new genus of land planarian (Platyhelminthes, Geoplanidae) for a new ‘blind’ species ...
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The road to successful people-centric research in rare diseases: the web-based case study of the Immunology and Congenital Disorders of Glycosylation questionnaire (ImmunoCDGQ) ...
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The road to successful people-centric research in rare diseases: the web-based case study of the Immunology and Congenital Disorders of Glycosylation questionnaire (ImmunoCDGQ) ...
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The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication ...
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Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system ...
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Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system ...
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The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review ...
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The use of predictive fall models for older adults receiving aged care, using routinely collected electronic health record data: a systematic review ...
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gTLO: A Generalized and Non-linear Multi-Objective Deep Reinforcement Learning Approach ...
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Abstract:
In real-world decision optimization, often multiple competing objectives must be taken into account. Following classical reinforcement learning, these objectives have to be combined into a single reward function. In contrast, multi-objective reinforcement learning (MORL) methods learn from vectors of per-objective rewards instead. In the case of multi-policy MORL, sets of decision policies for various preferences regarding the conflicting objectives are optimized. This is especially important when target preferences are not known during training or when preferences change dynamically during application. While it is, in general, straightforward to extend a single-objective reinforcement learning method for MORL based on linear scalarization, solutions that are reachable by these methods are limited to convex regions of the Pareto front. Non-linear MORL methods like Thresholded Lexicographic Ordering (TLO) are designed to overcome this limitation. Generalized MORL methods utilize function approximation to ...
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Keyword:
68T05, 68T42; Artificial Intelligence cs.AI; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; I.2.8; Machine Learning cs.LG; Systems and Control eess.SY
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URL: https://dx.doi.org/10.48550/arxiv.2204.04988 https://arxiv.org/abs/2204.04988
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A Literature Survey of Recent Advances in Chatbots
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In: Information; Volume 13; Issue 1; Pages: 41 (2022)
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Community Development of the SWEET Semantic System for Earth and Environmental Data - A Call for Interest ...
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Community Development of the SWEET Semantic System for Earth and Environmental Data - A Call for Interest ...
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On the role of population heterogeneity in emergent communication ...
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