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2020 – today
- 2024
[j34]Qi Li
, Zhirui Liang, Andrey Bernstein, Yury Dvorkin:
Revealing Decision Conservativeness Through Inverse Distributionally Robust Optimization. IEEE Control. Syst. Lett. 8: 1018-1023 (2024)- [j33]Guido Cavraro, Joshua Comden, Andrey Bernstein:
Feedback Optimization of Incentives for Distribution Grid Services. IEEE Control. Syst. Lett. 8: 1505-1510 (2024) - [i31]Yuqi Zhou, Ahmed S. Zamzam, Andrey Bernstein:
Equitable Networked Microgrid Topology Reconfiguration for Wildfire Risk Mitigation. CoRR abs/2402.04444 (2024) - [i30]Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong:
A Decentralized Market Mechanism for Energy Communities under Operating Envelopes. CoRR abs/2402.17201 (2024) - [i29]Guido Cavraro, Joshua Comden, Andrey Bernstein:
Feedback Optimization of Incentives for Distribution Grid Services. CoRR abs/2403.19616 (2024) - [i28]Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong:
Network-Aware and Welfare-Maximizing Dynamic Pricing for Energy Sharing. CoRR abs/2404.02458 (2024) - [i27]Qi Li, Zhirui Liang, Andrey Bernstein, Yury Dvorkin:
Revealing Decision Conservativeness Through Inverse Distributionally Robust Optimization. CoRR abs/2405.03123 (2024) - [i26]Zhirui Liang, Qi Li, Joshua Comden, Andrey Bernstein, Yury Dvorkin:
Learning with Adaptive Conservativeness for Distributionally Robust Optimization: Incentive Design for Voltage Regulation. CoRR abs/2408.02765 (2024) - [i25]Adam Lechowicz, Joshua Comden, Andrey Bernstein:
Optimizing Individualized Incentives from Grid Measurements and Limited Knowledge of Agent Behavior. CoRR abs/2410.14936 (2024) - 2023
- [j32]Bala Kameshwar Poolla, Yashen Lin, Andrey Bernstein, Enrique Mallada, Dominic Groß:
Frequency Shaping Control for Weakly-Coupled Grid-Forming IBRs. IEEE Control. Syst. Lett. 7: 937-942 (2023) - [c45]Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong:
Operating-Envelopes-Aware Decentralized Welfare Maximization for Energy Communities. Allerton 2023: 1-8 - [c44]Ignas Satkauskas, Guido Cavraro, Andrey Bernstein:
Ripple-Type Voltage Control for Extreme-Event Contingencies. ACC 2023: 1258-1263 - [c43]Andrey Bernstein, Joshua Comden, Yue Chen, Jing Wang:
Time-Varying Feedback Optimization for Quadratic Programs with Heterogeneous Gradient Step Sizes. CDC 2023: 4003-4011 - [c42]Joshua Comden, Jing Wang, Andrey Bernstein:
Study of Communication Boundaries of Primal-Dual-Based Distributed Energy Resource Management Systems (DERMS). ISGT 2023: 1-5 - [c41]Joshua Comden, Jing Wang, Subhankar Ganguly, Steven Forsyth, Reynaldo Gomez, Andrey Bernstein:
Hardware-in-the-Loop Evaluation of Grid-Edge DER Chip Integration Into Next-Generation Smart Meters. SmartGridComm 2023: 1-6 - [i24]Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong:
Operating-Envelopes-Aware Decentralized Welfare Maximization for Energy Communities. CoRR abs/2310.07157 (2023) - 2022
- [j31]Stefanos Baros, Chin-Yao Chang, Gabriel E. Colón-Reyes, Andrey Bernstein:
Online data-enabled predictive control. Autom. 138: 109926 (2022) - [j30]Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low:
Running Primal-Dual Gradient Method for Time-Varying Nonconvex Problems. SIAM J. Control. Optim. 60(4): 1970-1990 (2022) - [j29]Guido Cavraro, Emiliano Dall'Anese, Joshua Comden, Andrey Bernstein:
Online State Estimation for Time-Varying Systems. IEEE Trans. Autom. Control. 67(10): 5424-5431 (2022) - [j28]Bai Cui, Ahmed S. Zamzam, Guido Cavraro, Andrey Bernstein:
Efficient Region of Attraction Characterization for Control and Stabilization of Load Tap Changer Dynamics. IEEE Trans. Control. Netw. Syst. 9(3): 1506-1517 (2022) - [j27]Guido Cavraro, Andrey Bernstein, Ruggero Carli, Sandro Zampieri:
Feedback Power Cost Optimization in Power Distribution Networks With Prosumers. IEEE Trans. Control. Netw. Syst. 9(4): 1633-1644 (2022) - [j26]Xiangyu Zhang, Yue Chen, Andrey Bernstein, Rohit Chintala, Peter A. Graf, Xin Jin, David Biagioni:
Two-Stage Reinforcement Learning Policy Search for Grid-Interactive Building Control. IEEE Trans. Smart Grid 13(3): 1976-1987 (2022) - [j25]Guido Cavraro, Joshua Comden, Emiliano Dall'Anese, Andrey Bernstein:
Real-Time Distribution System State Estimation With Asynchronous Measurements. IEEE Trans. Smart Grid 13(5): 3813-3822 (2022) - [j24]Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein:
Multiarea Distribution System State Estimation via Distributed Tensor Completion. IEEE Trans. Smart Grid 13(6): 4887-4898 (2022) - [c40]Joshua Comden, Ahmed S. Zamzam, Andrey Bernstein:
Secure Control Regions for Distributed Stochastic Systems with Application to Distributed Energy Resource Dispatch. ACC 2022: 2208-2213 - [c39]Joshua Comden, Ahmed S. Zamzam, Andrey Bernstein:
Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks. HICSS 2022: 1-10 - [i23]Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein:
Multi-Area Distribution System State Estimation via Distributed Tensor Completion. CoRR abs/2203.00260 (2022) - [i22]Bai Cui, Ahmed S. Zamzam, Andrey Bernstein:
Enabling Grid-Aware Market Participation of Aggregate Flexible Resources. CoRR abs/2207.12685 (2022) - 2021
- [j23]Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil, Andrey Bernstein:
Personalized optimization with user's feedback. Autom. 131: 109767 (2021) - [j22]Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein:
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition. IEEE Control. Syst. Lett. 5(2): 605-610 (2021) - [j21]Bai Cui, Ahmed S. Zamzam, Andrey Bernstein:
Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties. IEEE Control. Syst. Lett. 5(5): 1723-1728 (2021) - [j20]Yan Jiang, Andrey Bernstein, Petr Vorobev, Enrique Mallada:
Grid-Forming Frequency Shaping Control for Low-Inertia Power Systems. IEEE Control. Syst. Lett. 5(6): 1988-1993 (2021) - [j19]Xinyang Zhou, Chin-Yao Chang, Andrey Bernstein, Changhong Zhao, Lijun Chen:
Economic Dispatch With Distributed Energy Resources: Co-Optimization of Transmission and Distribution Systems. IEEE Control. Syst. Lett. 5(6): 1994-1999 (2021) - [j18]April Sagan, Yajing Liu, Andrey Bernstein:
Decentralized Low-Rank State Estimation for Power Distribution Systems. IEEE Trans. Smart Grid 12(4): 3097-3106 (2021) - [c38]Yuqi Zhou, Ahmed S. Zamzam, Andrey Bernstein, Hao Zhu:
Substation-Level Grid Topology Optimization Using Bus Splitting. ACC 2021: 1-7 - [c37]Xinyang Zhou, Chin-Yao Chang, Andrey Bernstein, Changhong Zhao, Lijun Chen:
Economic Dispatch With Distributed Energy Resources: Co-Optimization of Transmission and Distribution Systems. ACC 2021: 392-397 - [c36]Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn:
Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation. ACC 2021: 1965-1972 - [c35]Manish Kumar Singh, Guido Cavraro, Andrey Bernstein, Vassilis Kekatos:
Ripple-Type Control for Enhancing Resilience of Networked Physical Systems. ACC 2021: 2031-2036 - [c34]Xiangyu Zhang, Rohit Chintala, Andrey Bernstein, Peter A. Graf, Xin Jin:
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. ACC 2021: 4155-4162 - [c33]Bai Cui, Ahmed S. Zamzam, Andrey Bernstein:
Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties. ACC 2021: 4178-4183 - [c32]Yan Jiang, Andrey Bernstein, Petr Vorobev, Enrique Mallada:
Grid-Forming Frequency Shaping Control for Low-Inertia Power Systems. ACC 2021: 4184-4189 - [c31]Jianqiao Huang, Bai Cui, Xinyang Zhou, Andrey Bernstein:
A Generalized LinDistFlow Model for Power Flow Analysis. CDC 2021: 3493-3500 - [c30]Guido Cavraro, Manish Kumar Singh, Andrey Bernstein:
Emergency Voltage Regulation in Power Systems via Ripple-Type Control. MED 2021: 1234-1239 - [i21]Manish Kumar Singh, Guido Cavraro, Andrey Bernstein, Vassilis Kekatos:
Ripple-Type Control for Enhancing Resilience of Networked Physical Systems. CoRR abs/2103.13505 (2021) - [i20]Jianqiao Huang, Bai Cui, Xinyang Zhou, Andrey Bernstein:
A Generalized LinDistFlow Model for Power Flow Analysis. CoRR abs/2104.02118 (2021) - 2020
- [j17]Guido Cavraro, Andrey Bernstein, Vassilis Kekatos, Yingchen Zhang:
Real-Time Identifiability of Power Distribution Network Topologies With Limited Monitoring. IEEE Control. Syst. Lett. 4(2): 325-330 (2020) - [j16]Marcello Colombino, Emiliano Dall'Anese, Andrey Bernstein:
Online Optimization as a Feedback Controller: Stability and Tracking. IEEE Trans. Control. Netw. Syst. 7(1): 422-432 (2020) - [j15]Priya L. Donti, Yajing Liu, Andreas Schmitt, Andrey Bernstein, Rui Yang, Yingchen Zhang:
Matrix Completion for Low-Observability Voltage Estimation. IEEE Trans. Smart Grid 11(3): 2520-2530 (2020) - [j14]Guido Cavraro, Andrey Bernstein:
Bus Clustering for Distribution Grid Topology Identification. IEEE Trans. Smart Grid 11(5): 4080-4089 (2020) - [c29]Yajing Liu, Ahmed S. Zamzam, Andrey Bernstein:
Multi-Area Model-Free State Estimation via Distributed Tensor Decomposition. ACSSC 2020: 191-195 - [c28]Yue Chen, Andrey Bernstein:
Data-Driven Linear Parameter-Varying Modeling and Control of Flexible Loads for Grid Services. ACC 2020: 2363-2369 - [c27]Guido Cavraro, Andrey Bernstein, Ruggero Carli, Sandro Zampieri:
Distributed Minimization of the Power Generation Cost in Prosumer-Based Distribution Networks. ACC 2020: 2370-2375 - [c26]Yue Chen, Andrey Bernstein, Adithya M. Devraj, Sean P. Meyn:
Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow. ACC 2020: 3140-3147 - [c25]Chin-Yao Chang, Xinyang Zhou, Andrey Bernstein:
Computation-Efficient Algorithm for Distributed Feedback Optimization of Distribution Grids. SmartGridComm 2020: 1-6 - [c24]Yajing Liu, April Sagan, Andrey Bernstein, Rui Yang, Xinyang Zhou, Yingchen Zhang:
Matrix Completion Using Alternating Minimization for Distribution System State Estimation. SmartGridComm 2020: 1-6 - [c23]Manish Kumar Singh, Sarthak Gupta, Vassilis Kekatos, Guido Cavraro, Andrey Bernstein:
Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks. SmartGridComm 2020: 1-6 - [i19]Stefanos Baros, Andrey Bernstein, Nikos D. Hatziargyriou:
A Framework for Distributed and Compositional Stability Analysis of Power Grids. CoRR abs/2003.07475 (2020) - [i18]Ahmed S. Zamzam, Yajing Liu, Andrey Bernstein:
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition. CoRR abs/2004.05741 (2020) - [i17]Guido Cavraro, Emiliano Dall'Anese, Joshua Comden, Andrey Bernstein:
Online State Estimation for Systems with Asynchronous Sensors. CoRR abs/2006.00628 (2020) - [i16]Yan Jiang, Andrey Bernstein, Petr Vorobev, Enrique Mallada:
Grid-forming frequency shaping control. CoRR abs/2009.06707 (2020) - [i15]Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn:
Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation. CoRR abs/2009.14431 (2020) - [i14]Xiangyu Zhang, Rohit Chintala, Andrey Bernstein, Peter A. Graf, Xin Jin:
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search. CoRR abs/2010.06718 (2020) - [i13]Bai Cui, Ahmed S. Zamzam, Andrey Bernstein:
Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties. CoRR abs/2012.06947 (2020)
2010 – 2019
- 2019
- [j13]Emiliano Dall'Anese, Andrea Simonetto, Andrey Bernstein:
On the Convergence of the Inexact Running Krasnosel'skiĭ-Mann Method. IEEE Control. Syst. Lett. 3(3): 613-618 (2019) - [j12]Jonatan Ostrometzky, Andrey Bernstein, Gil Zussman:
Irradiance Field Reconstruction From Partial Observability of Solar Radiation. IEEE Geosci. Remote. Sens. Lett. 16(11): 1698-1702 (2019) - [j11]Andrey Bernstein, Emiliano Dall'Anese:
Real-Time Feedback-Based Optimization of Distribution Grids: A Unified Approach. IEEE Trans. Control. Netw. Syst. 6(3): 1197-1209 (2019) - [j10]Kyri Baker, Andrey Bernstein:
Joint Chance Constraints in AC Optimal Power Flow: Improving Bounds Through Learning. IEEE Trans. Smart Grid 10(6): 6376-6385 (2019) - [j9]Andrey Bernstein, Emiliano Dall'Anese, Andrea Simonetto:
Online Primal-Dual Methods With Measurement Feedback for Time-Varying Convex Optimization. IEEE Trans. Signal Process. 67(8): 1978-1991 (2019) - [j8]Raksha Ramakrishna, Anna Scaglione, Vijay Vittal, Emiliano Dall'Anese, Andrey Bernstein:
A Model for Joint Probabilistic Forecast of Solar Photovoltaic Power and Outdoor Temperature. IEEE Trans. Signal Process. 67(24): 6368-6383 (2019) - [c22]Andrey Bernstein, Yue Chen, Marcello Colombino, Emiliano Dall'Anese, Prashant G. Mehta, Sean P. Meyn:
Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning. CDC 2019: 5244-5251 - [c21]Marcello Colombino, John W. Simpson-Porco, Andrey Bernstein:
Towards robustness guarantees for feedback-based optimization. CDC 2019: 6207-6214 - [c20]Guido Cavraro, Emiliano Dall'Anese, Andrey Bernstein:
Dynamic Power Network State Estimation with Asynchronous Measurements. GlobalSIP 2019: 1-5 - [c19]Yingchen Zhang, Andrey Bernstein, Andreas Schmitt, Rui Yang:
State Estimation in Low-Observable Distribution Systems Using Matrix Completion. HICSS 2019: 1-7 - [c18]Joshua Comden, Marcello Colombino, Andrey Bernstein, Zhenhua Liu:
Sample Complexity of Power System State Estimation using Matrix Completion. SmartGridComm 2019: 1-7 - [i12]Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil, Andrey Bernstein:
Personalized Optimization with User's Feedback. CoRR abs/1905.00775 (2019) - [i11]Jun-Xing Chin, Andrey Bernstein, Gabriela Hug:
Aggregating Privacy-Conscious Distributed Energy Resources for Grid Service Provision. CoRR abs/1909.01215 (2019) - [i10]Yue Chen, Andrey Bernstein, Adithya M. Devraj, Sean P. Meyn:
Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow. CoRR abs/1909.13132 (2019) - [i9]Jonatan Ostrometzky, Konstantin Berestizshevsky, Andrey Bernstein, Gil Zussman:
Physics-Informed Deep Neural Network Method for Limited Observability State Estimation. CoRR abs/1910.06401 (2019) - 2018
- [j7]Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low:
A Primal-Dual Gradient Method for Time-Varying Optimization with Application to Power Systems. SIGMETRICS Perform. Evaluation Rev. 46(3): 92 (2018) - [j6]Lorenzo Reyes-Chamorro, Andrey Bernstein, Niek J. Bouman, Enrica Scolari, Andreas Martin Kettner, Benoit Cathiard, Jean-Yves Le Boudec, Mario Paolone:
Experimental Validation of an Explicit Power-Flow Primary Control in Microgrids. IEEE Trans. Ind. Informatics 14(11): 4779-4791 (2018) - [j5]Cong Wang, Andrey Bernstein, Jean-Yves Le Boudec, Mario Paolone:
Explicit Conditions on Existence and Uniqueness of Load-Flow Solutions in Distribution Networks. IEEE Trans. Smart Grid 9(2): 953-962 (2018) - [c17]Andrey Bernstein, Emiliano Dall'Anese:
Asynchronous and Distributed Tracking of Time-Varying Fixed Points. CDC 2018: 3236-3243 - [c16]Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein, Steven H. Low:
A Feedback-Based Regularized Primal-Dual Gradient Method for Time-Varying Nonconvex Optimization. CDC 2018: 3244-3250 - [c15]Md Salman Nazir, Ian A. Hiskens, Andrey Bernstein, Emiliano Dall'Anese:
Inner Approximation of Minkowski Sums: A Union-Based Approach and Applications to Aggregated Energy Resources. CDC 2018: 5708-5715 - [c14]Kyri Baker, Andrey Bernstein:
Joint Chance Constraints Reduction Through Learning in Active Distribution Networks. GlobalSIP 2018: 922-926 - [c13]Benjamin Kroposki, Emiliano Dall'Anese, Andrey Bernstein, Yingchen Zhang, Bri-Mathias S. Hodge:
Autonomous Energy Grids. HICSS 2018: 1-10 - [c12]Raksha Ramakrishna, Andrey Bernstein, Emiliano Dall'Anese, Anna Scaglione:
Joint Probabilistic Forecasts of Temperature and Solar Irradiance. ICASSP 2018: 3819-3823 - [i8]Md Salman Nazir, Ian A. Hiskens, Andrey Bernstein, Emiliano Dall'Anese:
Inner Approximation of Minkowski Sums: A Union-Based Approach and Applications to Aggregated Energy Resources. CoRR abs/1810.01587 (2018) - 2017
- [c11]Andrey Bernstein, Niek J. Bouman, Jean-Yves Le Boudec:
Real-time control of an ensemble of heterogeneous resources. CDC 2017: 1401-1406 - [c10]Andrey Bernstein, Emiliano Dall'Anese:
Bi-level dynamic optimization with feedback. GlobalSIP 2017: 553-557 - [c9]Emiliano Dall'Anese, Andrey Bernstein, Andrea Simonetto:
Feedback-based projected-gradient method for real-time optimization of aggregations of energy resources. GlobalSIP 2017: 1040-1044 - [c8]Kyri Baker, Andrey Bernstein, Changhong Zhao, Emiliano Dall'Anese:
Network-cognizant design of decentralized Volt/VAR controllers. ISGT 2017: 1-5 - [c7]Andrey Bernstein, Emiliano Dall'Anese:
Linear power-flow models in multiphase distribution networks. ISGT Europe 2017: 1-6 - [i7]Andrey Bernstein, Cong Wang, Emiliano Dall'Anese, Jean-Yves Le Boudec, Changhong Zhao:
Load-Flow in Multiphase Distribution Networks: Existence, Uniqueness, and Linear Models. CoRR abs/1702.03310 (2017) - [i6]Andrey Bernstein:
Bi-Level Online Control without Regret. CoRR abs/1702.05548 (2017) - 2016
- [c6]Andrey Bernstein, Jean-Yves Le Boudec, Mario Paolone, Lorenzo Reyes-Chamorro, Wajeb Saab:
Aggregation of power capabilities of heterogeneous resources for real-time control of power grids. PSCC 2016: 1-7 - [i5]Andrey Bernstein, Niek J. Bouman, Jean-Yves Le Boudec:
Real-Time Minimization of Average Error in the Presence of Uncertainty and Convexification of Feasible Sets. CoRR abs/1612.07287 (2016) - 2015
- [j4]Andrey Bernstein, Nahum Shimkin:
Response-based approachability with applications to generalized no-regret problems. J. Mach. Learn. Res. 16: 747-773 (2015) - [i4]Andrey Bernstein, Niek J. Bouman, Jean-Yves Le Boudec:
Design of Resource Agents with Guaranteed Tracking Properties for Real-Time Control of Electrical Grids. CoRR abs/1511.08628 (2015) - 2014
- [j3]Andrey Bernstein, Shie Mannor, Nahum Shimkin:
Opportunistic Approachability and Generalized No-Regret Problems. Math. Oper. Res. 39(4): 1057-1083 (2014) - [c5]Andrey Bernstein, Daniel Bienstock, David Hay, Meric Uzunoglu, Gil Zussman:
Power grid vulnerability to geographically correlated failures - Analysis and control implications. INFOCOM 2014: 2634-2642 - [i3]Andrey Bernstein, Lorenzo Reyes-Chamorro, Jean-Yves Le Boudec, Mario Paolone:
A Composable Method for Real-Time Control of Active Distribution Networks with Explicit Power Setpoints. CoRR abs/1403.2407 (2014) - 2013
- [c4]Andrey Bernstein, Shie Mannor, Nahum Shimkin:
Opportunistic Strategies for Generalized No-Regret Problems. COLT 2013: 158-171 - [i2]Andrey Bernstein, Nahum Shimkin:
Response-Based Approachability and its Application to Generalized No-Regret Algorithms. CoRR abs/1312.7658 (2013) - 2012
- [j2]Andrey Bernstein, Daniel Bienstock, David Hay, Meric Uzunoglu, Gil Zussman:
Sensitivity analysis of the power grid vulnerability to large-scale cascading failures. SIGMETRICS Perform. Evaluation Rev. 40(3): 33-37 (2012) - [i1]Andrey Bernstein, Daniel Bienstock, David Hay, Meric Uzunoglu, Gil Zussman:
Power Grid Vulnerability to Geographically Correlated Failures - Analysis and Control Implications. CoRR abs/1206.1099 (2012) - 2011
- [c3]Maria Gorlatova, Andrey Bernstein, Gil Zussman:
Performance evaluation of resource allocation policies for energy harvesting devices. WiOpt 2011: 189-196 - 2010
- [j1]Andrey Bernstein, Nahum Shimkin:
Adaptive-resolution reinforcement learning with polynomial exploration in deterministic domains. Mach. Learn. 81(3): 359-397 (2010) - [c2]Andrey Bernstein, Shie Mannor, Nahum Shimkin:
Online Classification with Specificity Constraints. NIPS 2010: 190-198
2000 – 2009
- 2008
- [c1]Andrey Bernstein, Nahum Shimkin:
Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains. COLT 2008: 323-334
Coauthor Index
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