Aviv Tamar

Assoc. Prof.

Former affiliation
    Calculated based on number of publications stored in Pure and citations from Scopus
    20112023

    Research activity per year

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    • ContraBAR: Contrastive Bayes-Adaptive Deep RL

      Choshen, E. & Tamar, A., 2023, In: Proceedings of Machine Learning Research. 202, p. 6005-6027 23 p.

      Research output: Contribution to journalConference articlepeer-review

    • Deep Bribe: Predicting the Rise of Bribery in Blockchain Mining with Deep RL

      Bar-Zur, R., Dori, D., Vardi, S., Eyal, I. & Tamar, A., 2023, Proceeding - 44th IEEE Symposium on Security and Privacy Workshops, SPW 2023. p. 29-37 9 p. (Proceeding - 44th IEEE Symposium on Security and Privacy Workshops, SPW 2023).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      1 Scopus citations
    • DOTE: Rethinking (Predictive) WAN Traffic Engineering

      Perry, Y., Frujeri, F. V., Hoch, C., Kandula, S., Menache, I., Schapira, M. & Tamar, A., 2023, Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023. p. 1557-1581 25 p. (Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2023).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      5 Scopus citations
    • Explore to Generalize in Zero-Shot RL

      Zisselman, E., Lavie, I., Soudry, D. & Tamar, A., 2023, In: Advances in Neural Information Processing Systems. 36

      Research output: Contribution to journalConference articlepeer-review

    • Fine-Tuning Generative Models as an Inference Method for Robotic Tasks

      Krupnik, O., Shafer, E., Jurgenson, T. & Tamar, A., 2023, In: Proceedings of Machine Learning Research. 229

      Research output: Contribution to journalConference articlepeer-review