Shie Mannor

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 296

Top Venues

Publications

Nitsan Soffair, Shie Mannor
MinMaxMin Q-learning. CoRR (2024)
Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization. CoRR (2024)
Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor
Improving Token-Based World Models with Parallel Observation Prediction. CoRR (2024)
Nitsan Soffair, Dotan Di Castro, Orly Avner, Shie Mannor
SQT - std Q-target. CoRR (2024)
Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor
Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization. CoRR (2023)
Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik
SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search. CoRR (2023)
Ofir Nabati, Guy Tennenholtz, Shie Mannor
Representation-Driven Reinforcement Learning. CoRR (2023)
Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom
Train Hard, Fight Easy: Robust Meta Reinforcement Learning. CoRR (2023)
Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom
Train Hard, Fight Easy: Robust Meta Reinforcement Learning. NeurIPS (2023)
Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik
Learning to Initiate and Reason in Event-Driven Cascading Processes. ICML (2023)
Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient. ICML (2023)
Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor
An Efficient Solution to s-Rectangular Robust Markov Decision Processes. CoRR (2023)
Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters
Continuous-Time Fitted Value Iteration for Robust Policies. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Jeongyeol Kwon, Yonathan Efroni, Shie Mannor, Constantine Caramanis
Prospective Side Information for Latent MDPs. CoRR (2023)
Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning. AAMAS (2023)
Mark Kozdoba, Binyamin Perets, Shie Mannor
Implicitly Normalized Explicitly Regularized Density Estimation. CoRR (2023)
Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Y. Levy, Shie Mannor
Policy Gradient for Rectangular Robust Markov Decision Processes. NeurIPS (2023)
Ofir Nabati, Guy Tennenholtz, Shie Mannor
Representation-Driven Reinforcement Learning. ICML (2023)
Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal
Planning and Learning with Adaptive Lookahead. AAAI (2023)
Ido Greenberg, Netanel Yannay, Shie Mannor
Optimization or Architecture: How to Hack Kalman Filtering. NeurIPS (2023)
Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Levy, Shie Mannor
Policy Gradient for s-Rectangular Robust Markov Decision Processes. CoRR (2023)
Kaixin Wang, Uri Gadot, Navdeep Kumar, Kfir Levy, Shie Mannor
Robust Reinforcement Learning via Adversarial Kernel Approximation. CoRR (2023)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Reward-Mixing MDPs with Few Latent Contexts are Learnable. ICML (2023)
Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CCGrid (2023)
Binyamin Perets, Mark Kozdoba, Shie Mannor
Learning Hidden Markov Models When the Locations of Missing Observations are Unknown. ICML (2023)
Esther Derman, Yevgeniy Men, Matthieu Geist, Shie Mannor
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization. CoRR (2023)
Shie Mannor, Aviv Tamar
Towards Deployable RL - What's Broken with RL Research and a Potential Fix. CoRR (2023)
Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. CoRR (2023)
Ido Greenberg, Netanel Yannay, Shie Mannor
Optimization or Architecture: How to Hack Kalman Filtering. CoRR (2023)
Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor
Individualized Dosing Dynamics via Neural Eigen Decomposition. NeurIPS (2023)
Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. SIGGRAPH (Conference Paper Track) (2023)
Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor
Individualized Dosing Dynamics via Neural Eigen Decomposition. CoRR (2023)
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
Reinforcement Learning for Datacenter Congestion Control. SIGMETRICS Perform. Evaluation Rev. 49 (2) (2022)
Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro
Analysis of Stochastic Processes through Replay Buffers. ICML (2022)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Tractable Optimality in Episodic Latent MABs. CoRR (2022)
Stav Belogolovsky, Ido Greenberg, Danny Eitan, Shie Mannor
Continuous Forecasting via Neural Eigen Decomposition of Stochastic Dynamics. CoRR (2022)
Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRL (2022)
Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
The Geometry of Robust Value Functions. CoRR (2022)
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
Optimizing Tensor Network Contraction Using Reinforcement Learning. CoRR (2022)
Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor
Actor-Critic based Improper Reinforcement Learning. ICML (2022)
Mark Kozdoba, Edward Moroshko, Shie Mannor, Yacov Crammer
Finite Sample Analysis Of Dynamic Regression Parameter Learning. NeurIPS (2022)
Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRR (2022)
Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
The Geometry of Robust Value Functions. ICML (2022)
Shie Mannor
Reinforcement Learning for Extended Intelligence. ICINCO (2022)
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
Reinforcement Learning for Datacenter Congestion Control. AAAI (2022)
Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CoRR (2022)
Guy Tennenholtz, Shie Mannor
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning. NeurIPS (2022)
Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
Reinforcement Learning with a Terminator. NeurIPS (2022)
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
Optimizing Tensor Network Contraction Using Reinforcement Learning. ICML (2022)
Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. ICLR (2022)
Roy Zohar, Shie Mannor, Guy Tennenholtz
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning. AAAI (2022)
Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro
Analysis of Stochastic Processes through Replay Buffers. CoRR (2022)
Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor
Efficient Risk-Averse Reinforcement Learning. NeurIPS (2022)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. ICML (2022)
Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik
Learning to reason about and to act on physical cascading events. CoRR (2022)
Binyamin Perets, Mark Kozdoba, Shie Mannor
Whats Missing? Learning Hidden Markov Models When the Locations of Missing Observations are Unknown. CoRR (2022)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. CoRR (2022)
Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
Reinforcement Learning with a Terminator. CoRR (2022)
Navdeep Kumar, Kaixin Wang, Kfir Levy, Shie Mannor
Policy Gradient for Reinforcement Learning with General Utilities. CoRR (2022)
Gal Dalal, Assaf Hallak, Shie Mannor, Gal Chechik
SoftTreeMax: Policy Gradient with Tree Search. CoRR (2022)
Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor
Actor-Critic based Improper Reinforcement Learning. CoRR (2022)
Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor
Efficient Risk-Averse Reinforcement Learning. CoRR (2022)
Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization. CoRR (2022)
Lior Shani, Tom Zahavy, Shie Mannor
Online Apprenticeship Learning. AAAI (2022)
Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal
Planning and Learning with Adaptive Lookahead. CoRR (2022)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Tractable Optimality in Episodic Latent MABs. NeurIPS (2022)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Reward-Mixing MDPs with a Few Latent Contexts are Learnable. CoRR (2022)
Nadav Merlis, Yonathan Efroni, Shie Mannor
Dare not to Ask: Problem-Dependent Guarantees for Budgeted Bandits. CoRR (2021)
Lior Shani, Tom Zahavy, Shie Mannor
Online Apprenticeship Learning. CoRR (2021)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Reinforcement Learning in Reward-Mixing MDPs. NeurIPS (2021)
Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor
Confidence-Budget Matching for Sequential Budgeted Learning. ICML (2021)
Roi Pony, Itay Naeh, Shie Mannor
Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks. CVPR (2021)
Ofir Nabati, Tom Zahavy, Shie Mannor
Online Limited Memory Neural-Linear Bandits with Likelihood Matching. CoRR (2021)
Guy Tennenholtz, Nir Baram, Shie Mannor
GELATO: Geometrically Enriched Latent Model for Offline Reinforcement Learning. CoRR (2021)
Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
Robust Value Iteration for Continuous Control Tasks. CoRR (2021)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
RL for Latent MDPs: Regret Guarantees and a Lower Bound. NeurIPS (2021)
Nir Baram, Guy Tennenholtz, Shie Mannor
Maximum Entropy Reinforcement Learning with Mixture Policies. CoRR (2021)
Esther Derman, Matthieu Geist, Shie Mannor
Twice regularized MDPs and the equivalence between robustness and regularization. NeurIPS (2021)
Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. ICLR (2021)
Roy Zohar, Shie Mannor, Guy Tennenholtz
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning. CoRR (2021)
Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
Value Iteration in Continuous Actions, States and Time. CoRR (2021)
Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor
Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling. CoRR (2021)
Mark Kozdoba, Shie Mannor
Dimension Free Generalization Bounds for Non Linear Metric Learning. CoRR (2021)
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
Reinforcement Learning for Datacenter Congestion Control. CoRR (2021)
Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor
Reinforcement Learning in Reward-Mixing MDPs. CoRR (2021)
Shirli Di-Castro Shashua, Dotan Di Castro, Shie Mannor
Sim and Real: Better Together. NeurIPS (2021)
Yonathan Efroni, Nadav Merlis, Shie Mannor
Reinforcement Learning with Trajectory Feedback. AAAI (2021)
Assaf Hallak, Gal Dalal, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. CoRR (2021)
Avi Mohan, Shie Mannor, Arman C. Kizilkale
On the Volatility of Optimal Control Policies of a Class of Linear Quadratic Regulators. ACC (2021)
Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. CoRR (2021)
Esther Derman, Matthieu Geist, Shie Mannor
Twice regularized MDPs and the equivalence between robustness and regularization. CoRR (2021)
Nir Baram, Guy Tennenholtz, Shie Mannor
Action Redundancy in Reinforcement Learning. CoRR (2021)
Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor
Confidence-Budget Matching for Sequential Budgeted Learning. CoRR (2021)
Ido Greenberg, Shie Mannor, Netanel Yannay
Using Kalman Filter The Right Way: Noise Estimation Is Not Optimal. CoRR (2021)
Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
Value Iteration in Continuous Actions, States and Time. ICML (2021)
Shirli Di-Castro Shashua, Dotan Di Castro, Shie Mannor
Sim and Real: Better Together. CoRR (2021)
Stav Belogolovsky, Philip Korsunsky, Shie Mannor, Chen Tessler, Tom Zahavy
Inverse reinforcement learning in contextual MDPs. Mach. Learn. 110 (9) (2021)
Nadav Merlis, Shie Mannor
Lenient Regret for Multi-Armed Bandits. AAAI (2021)
Nir Baram, Guy Tennenholtz, Shie Mannor
Action redundancy in reinforcement learning. UAI (2021)
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks. ICML (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shie Mannor