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Modeling Object's Affordances via Reward Functions., и . SMC, стр. 2183-2190. IEEE, (2021)A Framework for Learning in Humanoid Simulated Robots., , , и . RoboCup, том 5001 из Lecture Notes in Computer Science, стр. 345-352. Springer, (2007)Learning over the Attentional Space with Mobile Robots., , , , , , и . ICDL-EPIROB, стр. 1-7. IEEE, (2020)A comparison of deep learning-based visual odometry algorithms in challenging scenarios., , , и . SysCon, стр. 1-8. IEEE, (2024)CIDEr-R: Robust Consensus-based Image Description Evaluation., , и . W-NUT, стр. 351-360. Association for Computational Linguistics, (2021)A Multiclass Object and Depth Estimation Deep Model for Humanoids Robots in a Soccer Simulated Dataset., и . LARS/SBR/WRE, стр. 31-36. IEEE, (2019)EEG Motor Imagery Classification of Upper Limb Movements., , и . BIOSIGNALS, стр. 314-317. SciTePress, (2013)An Analysis of Feature-based and State-based Representations for Module-Based Learning in Mobile Robots., и . HIS, стр. 163-168. IEEE Computer Society, (2005)Attention, please! A survey of Neural Attention Models in Deep Learning, и . (2021)cite arxiv:2103.16775Comment: 66 pages, 24 figures.An Iowa Gambling Task-based experiment applied to robots: A Study on Long-term Decision Making., , , , и . ICDL, стр. 1-6. IEEE, (2021)