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Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.

Z. Daniels, A. Raghavan, J. Hostetler, A. Rahman, I. Sur, M. Piacentino, A. Divakaran, R. Corizzo, K. Faber, N. Japkowicz, M. Baron, J. Smith, S. Joshi, Z. Kira, C. Taylor, M. Gurbuz, C. Dovrolis, T. Hayes, C. Kanan, and J. Gallardo. CoLLAs, volume 199 of Proceedings of Machine Learning Research, page 1120-1145. PMLR, (2022)

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Roberto Sala

Roberto Cruccolini

Roberto Fornari

Roberto Minakawa

Roberto Klimmek

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Scalable auto-encoders for gravitational waves detection from time series data.R. Corizzo, M. Ceci, E. Zdravevski, and N. Japkowicz. Expert Syst. Appl., (2020)Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction?M. Ceci, R. Corizzo, F. Fumarola, D. Malerba, and A. Rashkovska. IEEE Trans. Ind. Informatics, 13 (3): 956-966 (2017)ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids.M. Ceci, R. Corizzo, N. Japkowicz, P. Mignone, and G. Pio. IEEE Access, (2020)Multi-Horizon Air Pollution Forecasting with Deep Neural Networks.M. Arsov, E. Zdravevski, P. Lameski, R. Corizzo, N. Koteli, S. Gramatikov, K. Mitreski, and V. Trajkovik. Sensors, 21 (4): 1235 (2021)Towards efficient deep autoencoders for multivariate time series anomaly detection.M. Pietron, D. Zurek, K. Faber, and R. Corizzo. CoRR, (2024)CPDGA: Change point driven growing auto-encoder for lifelong anomaly detection.R. Corizzo, M. Baron, and N. Japkowicz. Knowl. Based Syst., (2022)LIFEWATCH: Lifelong Wasserstein Change Point Detection.K. Faber, R. Corizzo, B. Sniezynski, M. Baron, and N. Japkowicz. IJCNN, page 1-8. IEEE, (2022)Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification.B. Krawczyk, C. Bellinger, R. Corizzo, and N. Japkowicz. IJCNN, page 1-7. IEEE, (2021)Distributed Continual Intrusion Detection: A Collaborative Replay Framework.K. Faber, B. Sniezynski, and R. Corizzo. IEEE Big Data, page 3255-3263. IEEE, (2023)Big Data Analytics and Predictive Modeling Approaches for the Energy Sector.R. Corizzo, M. Ceci, and D. Malerba. BigData Congress, page 55-63. IEEE, (2019)

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Disambiguation of "Corizzo, Roberto"

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Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.

Please choose a person to relate this publication to

Roberto Sala

Roberto Cruccolini

Roberto Fornari

Roberto Minakawa

Roberto Klimmek

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Corizzo, Roberto"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.

Please choose a person to relate this publication to

Roberto Sala

Roberto Cruccolini

Roberto Fornari

Roberto Minakawa

Roberto Klimmek

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.