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ORCIDShie Mannor
Person information
- affiliation (PhD 2002): Technion - Israel Institute of Technology, Department of Electrical Engineering, Haifa, Israel
- affiliation: Nvidia Research, Tel Aviv-Yafo, Israel
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2020 – today
- 2023
[j80]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): 5534-5548 (2023)- [c239]Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal:
Planning and Learning with Adaptive Lookahead. AAAI 2023: 9606-9613 - [c238]Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler:
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning. AAMAS 2023: 2430-2432 - [c237]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: 331-343 - [c236]Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik:
Learning to Initiate and Reason in Event-Driven Cascading Processes. ICML 2023: 1218-1243 - [c235]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Reward-Mixing MDPs with Few Latent Contexts are Learnable. ICML 2023: 18057-18082 - [c234]Ofir Nabati, Guy Tennenholtz, Shie Mannor:
Representation-Driven Reinforcement Learning. ICML 2023: 25588-25603 - [c233]Binyamin Perets, Mark Kozdoba, Shie Mannor:
Learning Hidden Markov Models When the Locations of Missing Observations are Unknown. ICML 2023: 27642-27667 - [c232]Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor:
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient. ICML 2023: 36694-36713 - [c231]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: 37:1-37:9 - [i196]Shie Mannor, Aviv Tamar:
Towards Deployable RL - What's Broken with RL Research and a Potential Fix. CoRR abs/2301.01320 (2023) - [i195]Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom:
Train Hard, Fight Easy: Robust Meta Reinforcement Learning. CoRR abs/2301.11147 (2023) - [i194]Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik:
SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search. CoRR abs/2301.13236 (2023) - [i193]Navdeep Kumar, Esther Derman, Matthieu Geist, Kfir Levy, Shie Mannor:
Policy Gradient for s-Rectangular Robust Markov Decision Processes. CoRR abs/2301.13589 (2023) - [i192]Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor:
An Efficient Solution to s-Rectangular Robust Markov Decision Processes. CoRR abs/2301.13642 (2023) - [i191]Esther Derman, Yevgeniy Men, Matthieu Geist, Shie Mannor:
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization. CoRR abs/2303.06654 (2023) - [i190]Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng:
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters. CoRR abs/2305.02195 (2023) - [i189]Ofir Nabati, Guy Tennenholtz, Shie Mannor:
Representation-Driven Reinforcement Learning. CoRR abs/2305.19922 (2023) - [i188]Kaixin Wang, Uri Gadot, Navdeep Kumar, Kfir Levy, Shie Mannor:
Robust Reinforcement Learning via Adversarial Kernel Approximation. CoRR abs/2306.05859 (2023) - [i187]Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor:
Individualized Dosing Dynamics via Neural Eigen Decomposition. CoRR abs/2306.14020 (2023) - [i186]Mark Kozdoba, Binyamin Perets, Shie Mannor:
Implicitly Normalized Explicitly Regularized Density Estimation. CoRR abs/2307.13763 (2023) - [i185]Uri Gadot, Esther Derman, Navdeep Kumar, Maxence Mohamed Elfatihi, Kfir Levy, Shie Mannor:
Solving Non-Rectangular Reward-Robust MDPs via Frequency Regularization. CoRR abs/2309.01107 (2023) - 2022
- [j79]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): 43-46 (2022) - [c230]Lior Shani, Tom Zahavy, Shie Mannor:
Online Apprenticeship Learning. AAAI 2022: 8240-8248 - [c229]Roy Zohar, Shie Mannor, Guy Tennenholtz:
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning. AAAI 2022: 9278-9285 - [c228]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: 12615-12621 - [c227]Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone:
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRL 2022: 2170-2180 - [c226]Shie Mannor:
Reinforcement Learning for Extended Intelligence. ICINCO 2022: 5 - [c225]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 - [c224]Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro:
Analysis of Stochastic Processes through Replay Buffers. ICML 2022: 5039-5060 - [c223]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. ICML 2022: 11772-11789 - [c222]Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik:
Optimizing Tensor Network Contraction Using Reinforcement Learning. ICML 2022: 15278-15292 - [c221]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. ICML 2022: 22727-22751 - [c220]Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor:
Actor-Critic based Improper Reinforcement Learning. ICML 2022: 25867-25919 - [c219]Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor:
Efficient Risk-Averse Reinforcement Learning. NeurIPS 2022 - [c218]Mark Kozdoba, Edward Moroshko, Shie Mannor, Yacov Crammer:
Finite Sample Analysis Of Dynamic Regression Parameter Learning. NeurIPS 2022 - [c217]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Tractable Optimality in Episodic Latent MABs. NeurIPS 2022 - [c216]Guy Tennenholtz, Shie Mannor:
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning. NeurIPS 2022 - [c215]Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal:
Reinforcement Learning with a Terminator. NeurIPS 2022 - [i184]Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal:
Planning and Learning with Adaptive Lookahead. CoRR abs/2201.12403 (2022) - [i183]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms. CoRR abs/2201.12700 (2022) - [i182]Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor:
The Geometry of Robust Value Functions. CoRR abs/2201.12929 (2022) - [i181]Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor:
Continuous Forecasting via Neural Eigen Decomposition of Stochastic Dynamics. CoRR abs/2202.00117 (2022) - [i180]Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik:
Learning to reason about and to act on physical cascading events. CoRR abs/2202.01108 (2022) - [i179]Binyamin Perets, Mark Kozdoba, Shie Mannor:
Whats Missing? Learning Hidden Markov Models When the Locations of Missing Observations are Unknown. CoRR abs/2203.06527 (2022) - [i178]Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik:
Optimizing Tensor Network Contraction Using Reinforcement Learning. CoRR abs/2204.09052 (2022) - [i177]Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor:
Efficient Risk-Averse Reinforcement Learning. CoRR abs/2205.05138 (2022) - [i176]Navdeep Kumar, Kfir Levy, Kaixin Wang, Shie Mannor:
Efficient Policy Iteration for Robust Markov Decision Processes via Regularization. CoRR abs/2205.14327 (2022) - [i175]Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal:
Reinforcement Learning with a Terminator. CoRR abs/2205.15376 (2022) - [i174]Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro:
Analysis of Stochastic Processes through Replay Buffers. CoRR abs/2206.12848 (2022) - [i173]Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal:
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CoRR abs/2207.02295 (2022) - [i172]Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor:
Actor-Critic based Improper Reinforcement Learning. CoRR abs/2207.09090 (2022) - [i171]Gal Dalal, Assaf Hallak, Shie Mannor, Gal Chechik:
SoftTreeMax: Policy Gradient with Tree Search. CoRR abs/2209.13966 (2022) - [i170]Navdeep Kumar, Kaixin Wang, Kfir Levy, Shie Mannor:
Policy Gradient for Reinforcement Learning with General Utilities. CoRR abs/2210.00991 (2022) - [i169]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Reward-Mixing MDPs with a Few Latent Contexts are Learnable. CoRR abs/2210.02594 (2022) - [i168]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Tractable Optimality in Episodic Latent MABs. CoRR abs/2210.03528 (2022) - [i167]Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone:
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRR abs/2212.06437 (2022) - 2021
- [j78]Stav Belogolovsky, Philip Korsunsky, Shie Mannor, Chen Tessler, Tom Zahavy:
Inverse reinforcement learning in contextual MDPs. Mach. Learn. 110(9): 2295-2334 (2021) - [c214]Yonathan Efroni, Nadav Merlis, Shie Mannor:
Reinforcement Learning with Trajectory Feedback. AAAI 2021: 7288-7295 - [c213]Nadav Merlis, Shie Mannor:
Lenient Regret for Multi-Armed Bandits. AAAI 2021: 8950-8957 - [c212]Avi Mohan, Shie Mannor, Arman C. Kizilkale:
On the Volatility of Optimal Control Policies of a Class of Linear Quadratic Regulators. ACC 2021: 4533-4540 - [c211]Roi Pony, Itay Naeh, Shie Mannor:
Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks. CVPR 2021: 515-524 - [c210]Esther Derman, Gal Dalal, Shie Mannor:
Acting in Delayed Environments with Non-Stationary Markov Policies. ICLR 2021 - [c209]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 - [c208]Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor:
Confidence-Budget Matching for Sequential Budgeted Learning. ICML 2021: 2937-2947 - [c207]Ido Greenberg, Shie Mannor:
Detecting Rewards Deterioration in Episodic Reinforcement Learning. ICML 2021: 3842-3853 - [c206]Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg:
Value Iteration in Continuous Actions, States and Time. ICML 2021: 7224-7234 - [c205]Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik:
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks. ICML 2021: 7565-7577 - [c204]Ofir Nabati, Tom Zahavy, Shie Mannor:
Online Limited Memory Neural-Linear Bandits with Likelihood Matching. ICML 2021: 7905-7915 - [c203]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Reinforcement Learning in Reward-Mixing MDPs. NeurIPS 2021: 2253-2264 - [c202]Gal Dalal, Assaf Hallak, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik:
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. NeurIPS 2021: 5518-5530 - [c201]Shirli Di-Castro Shashua, Dotan Di Castro, Shie Mannor:
Sim and Real: Better Together. NeurIPS 2021: 6868-6880 - [c200]Esther Derman, Matthieu Geist, Shie Mannor:
Twice regularized MDPs and the equivalence between robustness and regularization. NeurIPS 2021: 22274-22287 - [c199]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
RL for Latent MDPs: Regret Guarantees and a Lower Bound. NeurIPS 2021: 24523-24534 - [c198]Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg:
Robust Value Iteration for Continuous Control Tasks. Robotics: Science and Systems 2021 - [c197]Nir Baram, Guy Tennenholtz, Shie Mannor:
Action redundancy in reinforcement learning. UAI 2021: 376-385 - [c196]Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni:
Bandits with partially observable confounded data. UAI 2021: 430-439 - [c195]Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik:
Known unknowns: Learning novel concepts using reasoning-by-elimination. UAI 2021: 504-514 - [i166]Esther Derman, Gal Dalal, Shie Mannor:
Acting in Delayed Environments with Non-Stationary Markov Policies. CoRR abs/2101.11992 (2021) - [i165]Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor:
Confidence-Budget Matching for Sequential Budgeted Learning. CoRR abs/2102.03400 (2021) - [i164]Ofir Nabati, Tom Zahavy, Shie Mannor:
Online Limited Memory Neural-Linear Bandits with Likelihood Matching. CoRR abs/2102.03799 (2021) - [i163]Mark Kozdoba, Shie Mannor:
Dimension Free Generalization Bounds for Non Linear Metric Learning. CoRR abs/2102.03802 (2021) - [i162]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
RL for Latent MDPs: Regret Guarantees and a Lower Bound. CoRR abs/2102.04939 (2021) - [i161]Lior Shani, Tom Zahavy, Shie Mannor:
Online Apprenticeship Learning. CoRR abs/2102.06924 (2021) - [i160]Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor:
Improper Learning with Gradient-based Policy Optimization. CoRR abs/2102.08201 (2021) - [i159]Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor:
Reinforcement Learning for Datacenter Congestion Control. CoRR abs/2102.09337 (2021) - [i158]Guy Tennenholtz, Nir Baram, Shie Mannor:
GELATO: Geometrically Enriched Latent Model for Offline Reinforcement Learning. CoRR abs/2102.11327 (2021) - [i157]Nir Baram, Guy Tennenholtz, Shie Mannor:
Action Redundancy in Reinforcement Learning. CoRR abs/2102.11329 (2021) - [i156]Nir Baram, Guy Tennenholtz, Shie Mannor:
Maximum Entropy Reinforcement Learning with Mixture Policies. CoRR abs/2103.10176 (2021) - [i155]Ido Greenberg, Shie Mannor, Netanel Yannay:
Using Kalman Filter The Right Way: Noise Estimation Is Not Optimal. CoRR abs/2104.02372 (2021) - [i154]Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor:
Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling. CoRR abs/2105.00210 (2021) - [i153]Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg:
Value Iteration in Continuous Actions, States and Time. CoRR abs/2105.04682 (2021) - [i152]Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg:
Robust Value Iteration for Continuous Control Tasks. CoRR abs/2105.12189 (2021) - [i151]Assaf Hallak, Gal Dalal, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik:
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. CoRR abs/2107.01715 (2021) - [i150]Roy Zohar, Shie Mannor, Guy Tennenholtz:
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2109.10632 (2021) - [i149]Shirli Di-Castro Shashua, Dotan Di Castro, Shie Mannor:
Sim and Real: Better Together. CoRR abs/2110.00445 (2021) - [i148]Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters:
Continuous-Time Fitted Value Iteration for Robust Policies. CoRR abs/2110.01954 (2021) - [i147]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
Reinforcement Learning in Reward-Mixing MDPs. CoRR abs/2110.03743 (2021) - [i146]Nadav Merlis, Yonathan Efroni, Shie Mannor:
Dare not to Ask: Problem-Dependent Guarantees for Budgeted Bandits. CoRR abs/2110.05724 (2021) - [i145]Esther Derman, Matthieu Geist, Shie Mannor:
Twice regularized MDPs and the equivalence between robustness and regularization. CoRR abs/2110.06267 (2021) - [i144]Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit:
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. CoRR abs/2110.06539 (2021) - 2020
- [c194]Lior Shani, Yonathan Efroni, Shie Mannor:
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. AAAI 2020: 5668-5675 - [c193]Guy Tennenholtz, Uri Shalit, Shie Mannor:
Off-Policy Evaluation in Partially Observable Environments. AAAI 2020: 10276-10283 - [c192]Xavier Fontaine, Shie Mannor, Vianney Perchet:
An adaptive stochastic optimization algorithm for resource allocation. ALT 2020: 319-363 - [c191]Nadav Merlis, Shie Mannor:
Tight Lower Bounds for Combinatorial Multi-Armed Bandits. COLT 2020: 2830-2857 - [c190]Dan Fisher, Mark Kozdoba, Shie Mannor:
Topic Modeling via Full Dependence Mixtures. ICML 2020: 3188-3198 - [c189]Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor:
Optimistic Policy Optimization with Bandit Feedback. ICML 2020: 8604-8613 - [c188]Yonathan Efroni, Mohammad Ghavamzadeh, Shie Mannor:
Online Planning with Lookahead Policies. NeurIPS 2020 - [c187]Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor:
Scalable Detection of Offensive and Non-compliant Content / Logo in Product Images. WACV 2020: 2236-2245 - [i143]Chen Tessler, Shie Mannor:
Maximizing the Total Reward via Reward Tweaking. CoRR abs/2002.03327 (2020) - [i142]Itay Naeh, Roi Pony, Shie Mannor:
Patternless Adversarial Attacks on Video Recognition Networks. CoRR abs/2002.05123 (2020) - [i141]Nadav Merlis, Shie Mannor:
Tight Lower Bounds for Combinatorial Multi-Armed Bandits. CoRR abs/2002.05392 (2020) - [i140]Avinash Mohan, Shie Mannor, Arman C. Kizilkale:
Price Volatility in Electricity Markets: A Stochastic Control Perspective. CoRR abs/2002.06808 (2020) - [i139]Shirli Di-Castro Shashua, Shie Mannor:
Kalman meets Bellman: Improving Policy Evaluation through Value Tracking. CoRR abs/2002.07171 (2020) - [i138]Yonathan Efroni, Lior Shani, Aviv Rosenberg, Shie Mannor:
Optimistic Policy Optimization with Bandit Feedback. CoRR abs/2002.08243 (2020) - [i137]Daniel Teitelman, Itay Naeh, Shie Mannor:
Stealing Black-Box Functionality Using The Deep Neural Tree Architecture. CoRR abs/2002.09864 (2020) - [i136]Yonathan Efroni, Shie Mannor, Matteo Pirotta:
Exploration-Exploitation in Constrained MDPs. CoRR abs/2003.02189 (2020) - [i135]Esther Derman, Shie Mannor:
Distributional Robustness and Regularization in Reinforcement Learning. CoRR abs/2003.02894 (2020) - [i134]Guy Tennenholtz, Uri Shalit, Shie Mannor, Yonathan Efroni:
Bandits with Partially Observable Offline Data. CoRR abs/2006.06731 (2020) - [i133]Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Hanlin Tang, Shie Mannor, Tamir Hazan, Somdeb Majumdar:
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning. CoRR abs/2007.07298 (2020) - [i132]Asaf B. Cassel, Shie Mannor, Guy Tennenholtz:
The Pendulum Arrangement: Maximizing the Escape Time of Heterogeneous Random Walks. CoRR abs/2007.13232 (2020) - [i131]Nadav Merlis, Shie Mannor:
Lenient Regret for Multi-Armed Bandits. CoRR abs/2008.03959 (2020) - [i130]Yonathan Efroni, Nadav Merlis, Shie Mannor:
Reinforcement Learning with Trajectory Feedback. CoRR abs/2008.06036 (2020) - [i129]Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik:
How to Stop Epidemics: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks. CoRR abs/2010.05313 (2020) - [i128]Ido Greenberg, Shie Mannor:
Drift Detection in Episodic Data: Detect When Your Agent Starts Faltering. CoRR abs/2010.11660 (2020) - [i127]Ahmet Fatih Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David W. Nellans, Diana Marculescu:
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems. CoRR abs/2012.04210 (2020)
2010 – 2019
- 2019
- [j77]Orly Avner, Shie Mannor:
Multi-User Communication Networks: A Coordinated Multi-Armed Bandit Approach. IEEE/ACM Trans. Netw. 27(6): 2192-2207 (2019) - [c186]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
How to Combine Tree-Search Methods in Reinforcement Learning. AAAI 2019: 3494-3501 - [c185]