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2020 – today
- 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)- [c204]Yonathan Efroni, Nadav Merlis, Shie Mannor:
Reinforcement Learning with Trajectory Feedback. AAAI 2021: 7288-7295 - [c203]Nadav Merlis, Shie Mannor:
Lenient Regret for Multi-Armed Bandits. AAAI 2021: 8950-8957 - [c202]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 - [c201]Roi Pony, Itay Naeh, Shie Mannor:
Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks. CVPR 2021: 515-524 - [c200]Esther Derman, Gal Dalal, Shie Mannor:
Acting in Delayed Environments with Non-Stationary Markov Policies. ICLR 2021 - [c199]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 - [c198]Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor:
Confidence-Budget Matching for Sequential Budgeted Learning. ICML 2021: 2937-2947 - [c197]Ido Greenberg, Shie Mannor:
Detecting Rewards Deterioration in Episodic Reinforcement Learning. ICML 2021: 3842-3853 - [c196]Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg:
Value Iteration in Continuous Actions, States and Time. ICML 2021: 7224-7234 - [c195]Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik:
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks. ICML 2021: 7565-7577 - [c194]Ofir Nabati, Tom Zahavy, Shie Mannor:
Online Limited Memory Neural-Linear Bandits with Likelihood Matching. ICML 2021: 7905-7915 - [c193]Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg:
Robust Value Iteration for Continuous Control Tasks. Robotics: Science and Systems 2021 - [i165]Esther Derman, Gal Dalal, Shie Mannor:
Acting in Delayed Environments with Non-Stationary Markov Policies. CoRR abs/2101.11992 (2021) - [i164]Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor:
Confidence-Budget Matching for Sequential Budgeted Learning. CoRR abs/2102.03400 (2021) - [i163]Ofir Nabati, Tom Zahavy, Shie Mannor:
Online Limited Memory Neural-Linear Bandits with Likelihood Matching. CoRR abs/2102.03799 (2021) - [i162]Mark Kozdoba, Shie Mannor:
Dimension Free Generalization Bounds for Non Linear Metric Learning. CoRR abs/2102.03802 (2021) - [i161]Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor:
RL for Latent MDPs: Regret Guarantees and a Lower Bound. CoRR abs/2102.04939 (2021) - [i160]Lior Shani, Tom Zahavy, Shie Mannor:
Online Apprenticeship Learning. CoRR abs/2102.06924 (2021) - [i159]Mohammadi Zaki, Avinash Mohan, Aditya Gopalan, Shie Mannor:
Improper Learning with Gradient-based Policy Optimization. CoRR abs/2102.08201 (2021) - [i158]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) - [i157]Guy Tennenholtz, Nir Baram, Shie Mannor:
GELATO: Geometrically Enriched Latent Model for Offline Reinforcement Learning. CoRR abs/2102.11327 (2021) - [i156]Nir Baram, Guy Tennenholtz, Shie Mannor:
Action Redundancy in Reinforcement Learning. CoRR abs/2102.11329 (2021) - [i155]Nir Baram, Guy Tennenholtz, Shie Mannor:
Maximum Entropy Reinforcement Learning with Mixture Policies. CoRR abs/2103.10176 (2021) - [i154]Ido Greenberg, Shie Mannor, Netanel Yannay:
Using Kalman Filter The Right Way: Noise Estimation Is Not Optimal. CoRR abs/2104.02372 (2021) - [i153]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) - [i152]Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg:
Value Iteration in Continuous Actions, States and Time. CoRR abs/2105.04682 (2021) - [i151]Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg:
Robust Value Iteration for Continuous Control Tasks. CoRR abs/2105.12189 (2021) - [i150]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) - [i149]Roy Zohar, Shie Mannor, Guy Tennenholtz:
Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2109.10632 (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
- [c192]Lior Shani, Yonathan Efroni, Shie Mannor:
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. AAAI 2020: 5668-5675 - [c191]Guy Tennenholtz, Uri Shalit, Shie Mannor:
Off-Policy Evaluation in Partially Observable Environments. AAAI 2020: 10276-10283 - [c190]Xavier Fontaine, Shie Mannor, Vianney Perchet:
An adaptive stochastic optimization algorithm for resource allocation. ALT 2020: 319-363 - [c189]Nadav Merlis, Shie Mannor:
Tight Lower Bounds for Combinatorial Multi-Armed Bandits. COLT 2020: 2830-2857 - [c188]Dan Fisher, Mark Kozdoba, Shie Mannor:
Topic Modeling via Full Dependence Mixtures. ICML 2020: 3188-3198 - [c187]Lior Shani, Yonathan Efroni, Aviv Rosenberg, Shie Mannor:
Optimistic Policy Optimization with Bandit Feedback. ICML 2020: 8604-8613 - [c186]Yonathan Efroni, Mohammad Ghavamzadeh, Shie Mannor:
Online Planning with Lookahead Policies. NeurIPS 2020 - [c185]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 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) - [c184]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
How to Combine Tree-Search Methods in Reinforcement Learning. AAAI 2019: 3494-3501 - [c183]Mark Kozdoba, Jakub Marecek, Tigran T. Tchrakian, Shie Mannor:
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters. AAAI 2019: 4098-4105 - [c182]Nadav Merlis, Shie Mannor:
Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem. COLT 2019: 2465-2489 - [c181]Chen Tessler, Daniel J. Mankowitz, Shie Mannor:
Reward Constrained Policy Optimization. ICLR (Poster) 2019 - [c180]Chao Qu, Shie Mannor, Huan Xu:
Nonlinear Distributional Gradient Temporal-Difference Learning. ICML 2019: 5251-5260 - [c179]Lior Shani, Yonathan Efroni, Shie Mannor:
Exploration Conscious Reinforcement Learning Revisited. ICML 2019: 5680-5689 - [c178]Guy Tennenholtz, Shie Mannor:
The Natural Language of Actions. ICML 2019: 6196-6205 - [c177]Chen Tessler, Yonathan Efroni, Shie Mannor:
Action Robust Reinforcement Learning and Applications in Continuous Control. ICML 2019: 6215-6224 - [c176]Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong:
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. NeurIPS 2019: 1182-1191 - [c175]Chen Tessler, Guy Tennenholtz, Shie Mannor:
Distributional Policy Optimization: An Alternative Approach for Continuous Control. NeurIPS 2019: 1350-1360 - [c174]Yonathan Efroni, Nadav Merlis, Mohammad Ghavamzadeh, Shie Mannor:
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies. NeurIPS 2019: 12203-12213 - [c173]Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor:
A Bayesian Approach to Robust Reinforcement Learning. UAI 2019: 648-658 - [i126]Shirli Di-Castro Shashua, Shie Mannor:
Trust Region Value Optimization using Kalman Filtering. CoRR abs/1901.07860 (2019) - [i125]Tom Zahavy, Shie Mannor:
Deep Neural Linear Bandits: Overcoming Catastrophic Forgetting through Likelihood Matching. CoRR abs/1901.08612 (2019) - [i124]Chen Tessler, Yonathan Efroni, Shie Mannor:
Action Robust Reinforcement Learning and Applications in Continuous Control. CoRR abs/1901.09184 (2019) - [i123]Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong:
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. CoRR abs/1901.09326 (2019) - [i122]Guy Tennenholtz, Shie Mannor:
The Natural Language of Actions. CoRR abs/1902.01119 (2019) - [i121]Xavier Fontaine, Shie Mannor, Vianney Perchet:
A Problem-Adaptive Algorithm for Resource Allocation. CoRR abs/1902.04376 (2019) - [i120]Shreyansh Gandhi, Samrat Kokkula, Abon Chaudhuri, Alessandro Magnani, Theban Stanley, Behzad Ahmadi, Venkatesh Kandaswamy, Omer Ovenc, Shie Mannor:
Image Matters: Detecting Offensive and Non-Compliant Content / Logo in Product Images. CoRR abs/1905.02234 (2019) - [i119]Nadav Merlis, Shie Mannor:
Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem. CoRR abs/1905.03125 (2019) - [i118]Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor:
A Bayesian Approach to Robust Reinforcement Learning. CoRR abs/1905.08188 (2019) - [i117]Chen Tessler, Tom Zahavy, Deborah Cohen, Daniel J. Mankowitz, Shie Mannor:
Action Assembly: Sparse Imitation Learning for Text Based Games with Combinatorial Action Spaces. CoRR abs/1905.09700 (2019) - [i116]Philip Korsunsky, Stav Belogolovsky, Tom Zahavy, Chen Tessler, Shie Mannor:
Inverse Reinforcement Learning in Contextual MDPs. CoRR abs/1905.09710 (2019) - [i115]Chen Tessler, Guy Tennenholtz, Shie Mannor:
Distributional Policy Optimization: An Alternative Approach for Continuous Control. CoRR abs/1905.09855 (2019) - [i114]Yonathan Efroni, Nadav Merlis, Mohammad Ghavamzadeh, Shie Mannor:
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies. CoRR abs/1905.11527 (2019) - [i113]Mark Kozdoba, Edward Moroshko, Shie Mannor, Koby Crammer:
Variance Estimation For Online Regression via Spectrum Thresholding. CoRR abs/1906.05591 (2019) - [i112]Dan Fisher, Mark Kozdoba, Shie Mannor:
Topic Modeling via Full Dependence Mixtures. CoRR abs/1906.06181 (2019) - [i111]Dotan Di Castro, Joel Oren, Shie Mannor:
Practical Risk Measures in Reinforcement Learning. CoRR abs/1908.08379 (2019) - [i110]Lior Shani, Yonathan Efroni, Shie Mannor:
Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs. CoRR abs/1909.02769 (2019) - [i109]Guy Tennenholtz, Shie Mannor, Uri Shalit:
Off-Policy Evaluation in Partially Observable Environments. CoRR abs/1909.03739 (2019) - [i108]Yonathan Efroni, Mohammad Ghavamzadeh, Shie Mannor:
Multi-Step Greedy and Approximate Real Time Dynamic Programming. CoRR abs/1909.04236 (2019) - [i107]Chen Tessler, Nadav Merlis, Shie Mannor:
Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients. CoRR abs/1910.01062 (2019) - [i106]Erez Schwartz, Guy Tennenholtz, Chen Tessler, Shie Mannor:
Natural Language State Representation for Reinforcement Learning. CoRR abs/1910.02789 (2019) - 2018
- [j76]Mark Kozdoba, Shie Mannor:
Source Estimation in Time Series and the Surprising Resilience of HMMs. IEEE Trans. Inf. Theory 64(8): 5555-5569 (2018) - [j75]Eli A. Meirom, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai:
Detecting Cascades from Weak Signatures. IEEE Trans. Netw. Sci. Eng. 5(4): 313-325 (2018) - [c172]Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor:
Finite Sample Analyses for TD(0) With Function Approximation. AAAI 2018: 6144-6160 - [c171]Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor:
Learning Robust Options. AAAI 2018: 6409-6416 - [c170]Tom Zahavy, Abhinandan Krishnan, Alessandro Magnani, Shie Mannor:
Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce. AAAI 2018: 7873-7881 - [c169]Gal Dalal, Gugan Thoppe, Balázs Szörényi, Shie Mannor:
Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning. COLT 2018: 1199-1233 - [c168]Asaf Cassel, Shie Mannor, Assaf Zeevi:
A General Approach to Multi-Armed Bandits Under Risk Criteria. COLT 2018: 1295-1306 - [c167]Matan Haroush, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor:
Learning How Not to Act in Text-based Games. ICLR (Workshop) 2018 - [c166]Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor:
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms. ICLR (Workshop) 2018 - [c165]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
Beyond the One-Step Greedy Approach in Reinforcement Learning. ICML 2018: 1386-1395 - [c164]Yahel David, Balázs Szörényi, Mohammad Ghavamzadeh, Shie Mannor, Nahum Shimkin:
PAC Bandits with Risk Constraints. ISAIM 2018 - [c163]Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J. Mankowitz, Shie Mannor:
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning. NeurIPS 2018: 3566-3577 - [c162]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning. NeurIPS 2018: 5244-5253 - [c161]Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor:
Soft-Robust Actor-Critic Policy-Gradient. UAI 2018: 208-218 - [i105]Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel:
Chance-Constrained Outage Scheduling using a Machine Learning Proxy. CoRR abs/1801.00500 (2018) - [i104]Daniel J. Mankowitz, Timothy A. Mann, Pierre-Luc Bacon, Doina Precup, Shie Mannor:
Learning Robust Options. CoRR abs/1802.03236 (2018) - [i103]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
Beyond the One Step Greedy Approach in Reinforcement Learning. CoRR abs/1802.03654 (2018) - [i102]Guy Tennenholtz, Tom Zahavy, Shie Mannor:
Train on Validation: Squeezing the Data Lemon. CoRR abs/1802.05846 (2018) - [i101]Esther Derman, Daniel J. Mankowitz, Timothy A. Mann, Shie Mannor:
Soft-Robust Actor-Critic Policy-Gradient. CoRR abs/1803.04848 (2018) - [i100]Tom Zahavy, Alex Dikopoltsev, Oren Cohen, Shie Mannor, Mordechai Segev:
Deep Learning Reconstruction of Ultra-Short Pulses. CoRR abs/1803.06024 (2018) - [i99]Mark Kozdoba, Shie Mannor:
Interdependent Gibbs Samplers. CoRR abs/1804.03958 (2018) - [i98]Chao Qu, Shie Mannor, Huan Xu:
Nonlinear Distributional Gradient Temporal-Difference Learning. CoRR abs/1805.07732 (2018) - [i97]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning. CoRR abs/1805.07956 (2018) - [i96]Chen Tessler, Daniel J. Mankowitz, Shie Mannor:
Reward Constrained Policy Optimization. CoRR abs/1805.11074 (2018) - [i95]Asaf Cassel, Shie Mannor, Assaf Zeevi:
A General Approach to Multi-Armed Bandits Under Risk Criteria. CoRR abs/1806.01380 (2018) - [i94]Orly Avner, Shie Mannor:
Multi-user Communication Networks: A Coordinated Multi-armed Bandit Approach. CoRR abs/1808.04875 (2018) - [i93]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
How to Combine Tree-Search Methods in Reinforcement Learning. CoRR abs/1809.01843 (2018) - [i92]Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J. Mankowitz, Shie Mannor:
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning. CoRR abs/1809.02121 (2018) - [i91]Mark Kozdoba, Jakub Marecek, Tigran T. Tchrakian, Shie Mannor:
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters. CoRR abs/1809.05870 (2018) - [i90]Nir Baram, Shie Mannor:
Inspiration Learning through Preferences. CoRR abs/1809.05872 (2018) - [i89]Lior Shani, Yonathan Efroni, Shie Mannor:
Revisiting Exploration-Conscious Reinforcement Learning. CoRR abs/1812.05551 (2018) - [i88]Mark Kozdoba, Edward Moroshko, Lior Shani, Takuya Takagi, Takashi Katoh, Shie Mannor, Koby Crammer:
Multi Instance Learning For Unbalanced Data. CoRR abs/1812.07010 (2018) - 2017
- [j74]Eli A. Meirom, Shie Mannor, Ariel Orda:
Strategic Formation of Heterogeneous Networks. IEEE J. Sel. Areas Commun. 35(3): 751-763 (2017) - [j73]Noam Segev, Maayan Harel, Shie Mannor, Koby Crammer, Ran El-Yaniv:
Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1811-1824 (2017) - [j72]Noga Alon, Nicolò Cesa-Bianchi, Claudio Gentile, Shie Mannor, Yishay Mansour, Ohad Shamir:
Nonstochastic Multi-Armed Bandits with Graph-Structured Feedback. SIAM J. Comput. 46(6): 1785-1826 (2017) - [j71]Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor:
Sequential Decision Making With Coherent Risk. IEEE Trans. Autom. Control. 62(7): 3323-3338 (2017) - [c160]Chen Tessler, Shahar Givony, Tom Zahavy, Daniel J. Mankowitz, Shie Mannor:
A Deep Hierarchical Approach to Lifelong Learning in Minecraft. AAAI 2017: 1553-1561 - [c159]Gal Cohensius, Shie Mannor, Reshef Meir, Eli A. Meirom, Ariel Orda:
Proxy Voting for Better Outcomes. AAMAS 2017: 858-866 - [c158]Daniel Vainsencher, Shie Mannor, Huan Xu:
Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization. COLT 2017: 1849-1881 - [c157]Nir Baram, Oron Anschel, Itai Caspi, Shie Mannor:
End-to-End Differentiable Adversarial Imitation Learning. ICML 2017: 390-399 - [c156]Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Shie Mannor:
Multi-objective Bandits: Optimizing the Generalized Gini Index. ICML 2017: 625-634 - [c155]Assaf Hallak, Shie Mannor:
Consistent On-Line Off-Policy Evaluation. ICML 2017: 1372-1383 - [c154]Timothy A. Mann, Shie Mannor, Doina Precup:
Approximate Value Iteration with Temporally Extended Actions (Extended Abstract). IJCAI 2017: 5035-5039 - [c153]Raphaël Canyasse, Gal Dalal, Shie Mannor:
Supervised learning for optimal power flow as a real-time proxy. ISGT 2017: