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Context-Adaptive Reinforcement Learning using Unsupervised Learning of Context Variables.

, , and . Preregister@NeurIPS, volume 148 of Proceedings of Machine Learning Research, page 236-254. PMLR, (2020)

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Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game., , and . ISMIR, page 784-791. (2018)Automatic Note-Level Score-to-Performance Alignments in the ASAP Dataset., , , , , , and . Trans. Int. Soc. Music. Inf. Retr., 6 (1): 27-42 (January 2023)Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping., , , and . CoRR, (2020)Tempo estimation as fully self-supervised binary classification., , , , and . CoRR, (2024)Real-Time Music Following in Score Sheet Images via Multi-Resolution Prediction., and . Frontiers Comput. Sci., (2021)Score Following as a Multi-Modal Reinforcement Learning Problem., , , and . TISMIR, 2 (1): 67-81 (2019)The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist., , , , , , , and . CoRR, (2023)Multi-modal Conditional Bounding Box Regression for Music Score Following., and . EUSIPCO, page 356-360. IEEE, (2021)Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping., , , and . DCASE, page 86-90. (2020)On the Effect of Data-Augmentation on Local Embedding Properties in the Contrastive Learning of Music Audio Representations., , , , and . CoRR, (2024)