Results 1 to 10 of about 37,977 (82)
Parámetros y regímenes del hidrotransporte de colas lateríticas en el proceso Caron
Minería y Geología, 2008 En la planta metalúrgica Ernesto Che Guevara, de tecnología Caron, el rendimiento de las bombas del sistema de hidrotransporte de colas es bajo, y por consiguiente, los costos de producción elevados.
Leonel Garcell +2 more
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Comportamiento de las colas del proceso Caron de Moa ante la intensidad de un campo magnético
Minería y Geología, 2014 La presente investigación tuvo el propósito de evaluar el comportamiento, ante la acción de la intensidad del campo magnético, de colas lateríticas derivadas del proceso metalúrgico Caron en la planta niquelera de Moa, con vistas a la recuperación de los
Orleidy Loyola-Breffe +3 more
doaj
Augmenting Autotelic Agents with Large Language Models [PDF]
CoLLAs, 2023 Humans learn to master open-ended repertoires of skills by imagining and practicing their own goals. This autotelic learning process, literally the pursuit of self-generated (auto) goals (telos), becomes more and more open-ended as the goals become more ...
Cédric Colas +4 more
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Current Issues in Molecular Biology, 2021 Elaborate analyses of the status of gene mutations in neurofibromatosis type 1 (NF1) are still difficult nowadays due to the large gene sizes, broad mutation spectrum, and the various effects of mutations on mRNA splicing. These problems cannot be solved
S. Togi, Hiroki Ura, Y. Niida
semanticscholar +1 more source
GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation [PDF]
International Conference on Computational Linguistics, 2022 Recent improvements in KG-to-text generation are due to additional auxiliary pre-training tasks designed to give the fine-tune task a boost in performance. These tasks require extensive computational resources while only suggesting marginal improvements.
Anthony Colas +2 more
semanticscholar +1 more source
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey [PDF]
Journal of Artificial Intelligence Research, 2020 Building autonomous machines that can explore open-ended environments, discover possible interactions and build repertoires of skills is a general objective of artificial intelligence.
Cédric Colas +3 more
semanticscholar +1 more source
YouTube as a Digital Resource for Sustainable Education
Sustainability, 2023 The extensive use of social networks by people of all ages and the wide range of freely available content therein can be very useful for sustainable education. This research paper aims to explore informal learning on YouTube from a sociocultural approach,
Pilar Colás-Bravo +1 more
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Scaling MAP-Elites to deep neuroevolution [PDF]
Annual Conference on Genetic and Evolutionary Computation, 2020 Quality-Diversity (QD) algorithms, and MAP-Elites (ME) in particular, have proven very useful for a broad range of applications including enabling real robots to recover quickly from joint damage, solving strongly deceptive maze tasks or evolving robot ...
Cédric Colas +3 more
semanticscholar +1 more source
Automatic Curriculum Learning For Deep RL: A Short Survey [PDF]
International Joint Conference on Artificial Intelligence, 2020 Automatic Curriculum Learning (ACL) has become a cornerstone of recent successes in Deep Reinforcement Learning (DRL). These methods shape the learning trajectories of agents by challenging them with tasks adapted to their capacities.
Rémy Portelas +4 more
semanticscholar +1 more source
Efficient cosmological analysis of the SDSS/BOSS data from the Effective Field Theory of Large-Scale Structure [PDF]
Journal of Cosmology and Astroparticle Physics, 2019 The precision of the cosmological data allows us to accurately approximate the predictions for cosmological observables by Taylor expanding up to a low order the dependence on the cosmological parameters around a reference cosmology.
Thomas Colas +4 more
semanticscholar +1 more source