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Robust Value Iteration for Continuous Control Tasks


May 25, 2021
Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg

* Accepted Paper at Robotics: Science and Systems 

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Value Iteration in Continuous Actions, States and Time


May 10, 2021
Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg

* Accepted at International Conference on Machine Learning (ICML) 2021 

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Noise Estimation Is Not Optimal: How To Use Kalman Filter The Right Way


May 04, 2021
Ido Greenberg, Netanel Yannay, Shie Mannor


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Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling


May 01, 2021
Mohammani Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor

* 4 pages, 5 figures, RLNQ workshop at the SIGMETRICS 2021 

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Using Kalman Filter The Right Way: Noise Estimation Is Not Optimal


Apr 06, 2021
Ido Greenberg, Shie Mannor, Netanel Yannay


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Maximum Entropy Reinforcement Learning with Mixture Policies


Mar 18, 2021
Nir Baram, Guy Tennenholtz, Shie Mannor


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Action Redundancy in Reinforcement Learning


Feb 22, 2021
Nir Baram, Guy Tennenholtz, Shie Mannor

* equal contribution 

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GELATO: Geometrically Enriched Latent Model for Offline Reinforcement Learning


Feb 22, 2021
Guy Tennenholtz, Nir Baram, Shie Mannor


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Improper Learning with Gradient-based Policy Optimization


Feb 21, 2021
Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor


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Reinforcement Learning for Datacenter Congestion Control


Feb 18, 2021
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor


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Online Apprenticeship Learning


Feb 13, 2021
Lior Shani, Tom Zahavy, Shie Mannor


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RL for Latent MDPs: Regret Guarantees and a Lower Bound


Feb 09, 2021
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor


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Dimension Free Generalization Bounds for Non Linear Metric Learning


Feb 07, 2021
Mark Kozdoba, Shie Mannor


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Online Limited Memory Neural-Linear Bandits with Likelihood Matching


Feb 07, 2021
Ofir Nabati, Tom Zahavy, Shie Mannor

* arXiv admin note: text overlap with arXiv:1901.08612 

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Confidence-Budget Matching for Sequential Budgeted Learning


Feb 05, 2021
Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor


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Acting in Delayed Environments with Non-Stationary Markov Policies


Jan 28, 2021
Esther Derman, Gal Dalal, Shie Mannor

* Accepted to ICLR 2021 

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The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems


Dec 08, 2020
Ahmet Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David Nellans, Diana Marculescu

* To appear in the proceedings of the 6th Workshop on Energy Efficient Machine Learning and Cognitive Computing (EMC2) 2020 

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How to Stop Epidemics: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks


Oct 26, 2020
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik


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


Oct 22, 2020
Ido Greenberg, Shie Mannor


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Lenient Regret for Multi-Armed Bandits


Sep 13, 2020
Nadav Merlis, Shie Mannor


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Reinforcement Learning with Trajectory Feedback


Aug 13, 2020
Yonathan Efroni, Nadav Merlis, Shie Mannor


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Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning


Jul 14, 2020
Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Hanlin Tang, Shie Mannor, Tamir Hazan, Somdeb Majumdar


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Bandits with Partially Observable Offline Data


Jun 11, 2020
Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni


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Distributional Robustness and Regularization in Reinforcement Learning


Mar 05, 2020
Esther Derman, Shie Mannor


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Exploration-Exploitation in Constrained MDPs


Mar 04, 2020
Yonathan Efroni, Shie Mannor, Matteo Pirotta


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Stealing Black-Box Functionality Using The Deep Neural Tree Architecture


Feb 23, 2020
Daniel Teitelman, Itay Naeh, Shie Mannor

* 8 pages, 7 figures, 1 table 

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Optimistic Policy Optimization with Bandit Feedback


Feb 19, 2020
Yonathan Efroni, Lior Shani, Aviv Rosenberg, Shie Mannor

* 34 pages 

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