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Distributed reinforcement learning for flexible UAV swarm control with transfer learning capabilities.

, , , , , , and . DroNet@MobiSys, page 10:1-10:6. ACM, (2020)

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Long-Term Prediction of Physical Interactions: A Challenge for Deep Generative Models., , and . LOD (1), volume 12565 of Lecture Notes in Computer Science, page 83-94. Springer, (2020)A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data., , , and . BI, volume 12241 of Lecture Notes in Computer Science, page 29-40. Springer, (2020)A Comparison of Recurrent and Convolutional Deep Learning Architectures for EEG Seizure Forecasting., , and . BIOSTEC (1), page 583-590. SCITEPRESS, (2024)Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models., , and . ICANN (5), volume 15020 of Lecture Notes in Computer Science, page 266-276. Springer, (2024)A machine learning approach to QoE-based video admission control and resource allocation in wireless systems., , , , , , and . Med-Hoc-Net, page 31-38. IEEE, (2014)Distributed reinforcement learning for flexible UAV swarm control with transfer learning capabilities., , , , , , and . DroNet@MobiSys, page 10:1-10:6. ACM, (2020)Learning Constraints From Human Stop-Feedback in Reinforcement Learning., , and . AAMAS, page 2328-2330. ACM, (2023)Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders., , , and . BI, volume 13406 of Lecture Notes in Computer Science, page 140-151. Springer, (2022)Numerosity Representation in InfoGAN: An Empirical Study., , , and . IWANN (2), volume 11507 of Lecture Notes in Computer Science, page 49-60. Springer, (2019)Estimating the distribution of numerosity and non-numerical visual magnitudes in natural scenes using computer vision., , and . CoRR, (2024)