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Shie Mannor

Prof.

 https://orcid.org/0000-0003-4439-7647
    20012025

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    • 2023

      CALM: Conditional Adversarial Latent Models for Directable Virtual Characters

      Tessler, C., Kasten, Y., Guo, Y., Mannor, S., Chechik, G. & Peng, X. B., 23 Jul 2023, Proceedings - SIGGRAPH 2023 Conference Papers. Spencer, S. N. (ed.). 37. (Proceedings - SIGGRAPH 2023 Conference Papers).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs

      Fuhrer, B., Shpigelman, Y., Tessler, C., Mannor, S., Chechik, G., Zahavi, E. & Dalal, G., 2023, Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023. Simmhan, Y., Altintas, I., Varbanescu, A.-L., Balaji, P., Prasad, A. S. & Carnevale, L. (eds.). p. 331-343 13 p. (Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2023).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Optimization or Architecture: How to Hack Kalman Filtering

      Greenberg, I., Yannay, N. & Mannor, S., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). (Advances in Neural Information Processing Systems; vol. 36).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Optimization or Architecture: What Matters in Non-Linear Filtering?

      Greenberg, I., Yannay, N. & Mannor, S., 2023, 1st Workshop on the Synergy of Scientific and Machine Learning Modeling @ ICML2023.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Planning and Learning with Adaptive Lookahead

      Rosenberg, A., Hallak, A., Mannor, S., Chechik, G. & Dalal, G., 27 Jun 2023, AAAI-23 Technical Tracks 8. Williams, B., Chen, Y. & Neville, J. (eds.). p. 9606-9613 8 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Towards Faster Global Convergence of Robust Policy Gradient Methods

      Kumar, N., Usmanova, I., Levy, K. Y. & Mannor, S., 2023, Sixteenth European Workshop on Reinforcement Learning. 13 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2022

      Efficient Risk-Averse Reinforcement Learning

      Greenberg, I., Chow, Y., Ghavamzadeh, M. & Mannor, S., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). (Advances in Neural Information Processing Systems; vol. 35).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Finite Sample Analysis Of Dynamic Regression Parameter Learning

      Kozdoba, M., Moroshko, E., Mannor, S. & Crammer, K., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). (Advances in Neural Information Processing Systems; vol. 35).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Kalman Filter Is All You Need: Optimization Works When Noise Estimation Fails

      Greenberg, I., Mannor, S. & Yannay, N., 2022, Tenth International Conference on Learning Representations.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning

      Zohar, R., Mannor, S. & Tennenholtz, G., 30 Jun 2022, AAAI-22 Technical Tracks 8. p. 9278-9285 8 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Online Apprenticeship Learning

      Shani, L., Zahavy, T. & Mannor, S., 30 Jun 2022, AAAI-22 Technical Tracks 8. p. 8240-8248 9 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Reinforcement Learning for Datacenter Congestion Control

      Tessler, C., Shpigelman, Y., Dalal, G., Mandelbaum, A., Kazakov, D. H., Fuhrer, B., Chechik, G. & Mannor, S., 30 Jun 2022, IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations. p. 12615-12621 7 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Reinforcement Learning with a Terminator

      Tennenholtz, G., Merlis, N., Shani, L., Mannor, S., Shalit, U., Chechik, G., Hallak, A. & Dalal, G., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). (Advances in Neural Information Processing Systems; vol. 35).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Tractable Optimality in Episodic Latent MABs

      Kwon, J., Efroni, Y., Caramanis, C. & Mannor, S., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). (Advances in Neural Information Processing Systems; vol. 35).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Two Regimes of Generalization for Non-Linear Metric Learning

      Kozdoba, M. & Mannor, S., 2022, Tenth International Conference on Learning Representations. 11 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning

      Tennenholtz, G. & Mannor, S., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). (Advances in Neural Information Processing Systems; vol. 35).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2021

      Action Redundancy in Reinforcement Learning

      Baram, N., Tennenholtz, G. & Mannor, S., 2021, 37th Conference on Uncertainty in Artificial Intelligence, UAI 2021. p. 376-385 10 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Bandits with partially observable confounded data

      Tennenholtz, G., Shalit, U., Mannor, S. & Efroni, Y., 2021, Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021. Campos, C. P. D., Maathuis, M. H. & Quaeghebeur, E. (eds.). Vol. 161. p. 430-439 10 p. (Proceedings of Machine Learning Research).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Confidence-Budget Matching for Sequential Budgeted Learning

      Efroni, Y., Merlis, N., Saha, A. & Mannor, S., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. p. 2937-2947 11 p. (Proceedings of Machine Learning Research; vol. 139).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks

      Meirom, E. A., Maron, H., Mannor, S. & Chechik, G., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. p. 7565-7577 13 p. (Proceedings of Machine Learning Research; vol. 139).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Detecting Rewards Deterioration in Episodic Reinforcement Learning

      Greenberg, I. & Mannor, S., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. p. 3842-3853 12 p. (Proceedings of Machine Learning Research; vol. 139).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Drift Detection in Episodic Data: Detect When Your Agent Starts Faltering

      Greenberg, I. & Mannor, S., 2021, ICLR 2021. 13 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction

      Hallak, A., Dalal, G., Dalton, S., Frosio, I., Mannor, S. & Chechik, G., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). p. 5518-5530 13 p. (Advances in Neural Information Processing Systems; vol. 7).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Latent Geodesics of Model Dynamics for Offline Reinforcement Learning

      Tennenholtz, G., Baram, N. & Mannor, S., 2021, Deep RL Workshop NeurIPS 2021. 21 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Learning Safe Policies with Cost-sensitive Advantage Estimation

      Kang, B., Mannor, S. & Feng, J., 2021, ICLR 2021 Conference.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Lenient Regret for Multi-Armed Bandits

      Merlis, N. & Mannor, S., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. p. 8950-8957 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 10B).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning

      Tennenholtz, G., Hallak, A., Dalal, G., Mannor, S., Chechik, G. & Shalit, U., 2021, International Conference on Learning Representations.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Online Limited Memory Neural-Linear Bandits with Likelihood Matching

      Nabati, O., Zahavy, T. & Mannor, S., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. p. 7905-7915 11 p. (Proceedings of Machine Learning Research; vol. 139).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • On the Volatility of Optimal Control Policies of a Class of Linear Quadratic Regulators

      Mohan, A., Mannor, S. & Kizilkale, A. C., 25 May 2021, 2021 American Control Conference, ACC 2021. p. 4533-4540 8 p. 9482645. (Proceedings of the American Control Conference; vol. 2021-May).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning

      Khadka, S., Aflalo, E., Marder, M., Ben-David, A., Miret, S., Mannor, S., Hazan, T., Tang, H. & Majumdar, S., 2021, 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Over-the-Air Adversarial Flickering Attacks against Video Recognition Networks

      Pony, R., Naeh, I. & Mannor, S., 2021, Proceedings - 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021. p. 515-524 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Reinforcement Learning in Reward-Mixing MDPs

      Kwon, J., Caramanis, C., Efroni, Y. & Mannor, S., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). p. 2253-2264 12 p. (Advances in Neural Information Processing Systems; vol. 3).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Reinforcement Learning with Trajectory Feedback

      Efroni, Y., Merlis, N. & Mannor, S., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. p. 7288-7295 8 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 8B).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • RL for Latent MDPs: Regret Guarantees and a Lower Bound

      Kwon, J., Efroni, Y., Caramanis, C. & Mannor, S., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). p. 24523-24534 12 p. (Advances in Neural Information Processing Systems; vol. 29).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Robust Value Iteration for Continuous Control Tasks

      Lutter, M., Mannor, S., Peters, J., Fox, D. & Garg, A., 2021, Robotics: Science and Systems XVII. Shell, D. A., Toussaint, M. & Hsieh, M. A. (eds.). (Robotics: Science and Systems).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Sim and Real: Better Together

      Di Castro Shashua, S., Mannor, S. & Di Castro, D., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). p. 6868-6880 13 p. (Advances in Neural Information Processing Systems; vol. 9).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Twice regularized MDPs and the equivalence between robustness and regularization

      Derman, E., Geist, M. & Mannor, S., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). p. 22274-22287 14 p. (Advances in Neural Information Processing Systems; vol. 27).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Value Iteration in Continuous Actions, States and Time

      Lutter, M., Mannor, S., Peters, J., Fox, D. & Garg, A., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. p. 7224-7234 11 p. (Proceedings of Machine Learning Research; vol. 139).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2020

      Adaptive Trust Region Policy Optimization - Global Convergence and Faster Rates for Regularized MDPs. Global convergence and faster rates for regularized MDPs

      Shani, L., Efroni, Y. & Mannor, S., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. p. 5668-5675 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Contextual Inverse Reinforcement Learning

      Korsunsky, P., Belogolovsky, S., Zahavy, T., Tessler, C. & Mannor, S., 2020, Eighth International Conference on Learning Representations. 23 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching

      Zahavy, T. & Mannor, S., 2020, Eighth International Conference on Learning Representations.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Off-policy evaluation in partially observable environments

      Tennenholtz, G., Shie, M. & Shalit, U., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. p. 10276-10283 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access

    • Optimistic policy optimization with bandit feedback

      Efroni, Y., Shani, L., Rosenberg, A. & Mannor, S., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). p. 8562-8571 10 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-12).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Scalable detection of offensive and non-compliant content / logo in product images

      Gandhi, S., Kokkula, S., Chaudhuri, A., Magnani, A., Stanley, T., Ahmadi, B., Kandaswamy, V., Ovenc, O. & Mannor, S., Mar 2020, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020. p. 2236-2245 10 p. 9093454. (Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients

      Tessler, C., Merlis, N. & Mannor, S., 2020, Eighth International Conference on Learning Representations. 16 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Topic modeling via full dependence mixtures

      Fisher, D., Kozdoba, M. & Mannor, S., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). p. 3169-3179 11 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-5).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2019

      A Bayesian approach to robust reinforcement learning

      Derman, E., Mankowitz, D., Mann, T. & Mannor, S., 2019, 35th Conference on Uncertainty in Artificial Intelligence, UAI 2019.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Action robust reinforcement learning and applications in continuous control

      Tessler, C., Efroni, Y. & Mannor, S., 2019, 36th International Conference on Machine Learning, ICML 2019. p. 10846-10855 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • Exploration conscious reinforcement learning revisited

      Shani, L., Efroni, Y. & Mannor, S., 2019, 36th International Conference on Machine Learning, ICML 2019. p. 9986-10012 27 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • How to combine tree-search methods in reinforcement learning

      Efroni, Y., Dalal, G., Scherrer, B. & Mannor, S., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. p. 3494-3501 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review