Sean P. Meyn - RankMe

243 papers A* 5A 1B 9C 28Misc 4Journal 119Unranked 76

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Moment Constrained Optimal Transport for Control Applications. Trans. Mach. Learn. Res. Thomas Le Corre, Ana Busic, Sean P. Meyn
2026	J	`jnl`	Optimistic Training and Convergence of Q-Learning - Extended Version. CoRR Prashant G. Mehta, Sean P. Meyn
2025	J	`jnl`	Control Engineer Roles in the Next Power Market Transition. Annu. Rev. Control. Robotics Auton. Syst. Hala Ballouz, Joel Mathias, Sean P. Meyn, Robert Moye, Joseph Warrington
2025	J	`jnl`	Functional Role of Synchronization: A Mean-Field Control Perspective. J. Syst. Sci. Complex. Prashant G. Mehta, Sean P. Meyn
2025	—	`conf`	Interacting Particle Systems for Fast Linear Quadratic RL. L4DC Anant A. Joshi, Heng-Sheng Chang, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2025	J	`jnl`	Markovian Foundations for Quasi-Stochastic Approximation. SIAM J. Control. Optim. Caio Kalil Lauand, Sean P. Meyn
2024	J	`jnl`	Design of Interacting Particle Systems for Fast and Efficient Reinforcement Learning. CoRR Anant A. Joshi, Heng-Sheng Chang, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2024	—	`conf`	Dual Ensemble Kalman Filter for Stochastic Optimal Control. CDC Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2024	J	`jnl`	Dual Ensemble Kalman Filter for Stochastic Optimal Control. CoRR Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2024	—	`conf`	Markovian Foundations for Quasi-Stochastic Approximation in Two Timescales. CDC Caio Kalil Lauand, Sean P. Meyn
2024	—	`conf`	Microgrid Frequency Stability: A Proactive Scheme Based on Dynamic Predictions. ISGT Gian Paramo, Arturo S. Bretas, Sean P. Meyn
2024	—	`conf`	Quickest Change Detection Using Mismatched CUSUM Extended Abstract. Allerton Austin Cooper, Sean P. Meyn
2024	J	`jnl`	Quickest Change Detection Using Mismatched CUSUM. CoRR Austin Cooper, Sean P. Meyn
2024	—	`conf`	Reinforcement Learning Design for Quickest Change Detection. CDC Austin Cooper, Sean P. Meyn
2024	J	`jnl`	Reinforcement Learning Design for Quickest Change Detection. CoRR Austin Cooper, Sean P. Meyn
2024	J	`jnl`	The Projected Bellman Equation in Reinforcement Learning. IEEE Trans. Autom. Control. Sean P. Meyn
2024	—	`conf`	Tri-Level Linear Programming Model for Automatic Load Shedding Using Spectral Clustering. ISGT Mario D. Baquedano-Aguilar, Arturo S. Bretas, Sean P. Meyn, Nader Aljohani
2023	—	`conf`	Balancing the Power Grid with Cheap Assets. CDC Sean P. Meyn, Fan Lu, Joel Mathias
2023	—	`conf`	Convex Q Learning in a Stochastic Environment. CDC Fan Lu, Sean P. Meyn
2023	J	`jnl`	Convex Q Learning in a Stochastic Environment: Extended Version. CoRR Fan Lu, Sean P. Meyn
2023	—	`conf`	Convex Q-Learning in Continuous Time with Application to Dispatch of Distributed Energy Resources. CDC Fan Lu, Joel Mathias, Sean P. Meyn, Karanjit Kalsi
2023	—	`conf`	High Impedance Fault Detection Through Quasi-Static State Estimation: A Parameter Error Modeling Approach. ISGT Austin Cooper, Arturo S. Bretas, Sean P. Meyn, Newton G. Bretas
2023	—	`conf`	High-Impedance Non-Linear Fault Detection via Eigenvalue Analysis with low PMU Sampling Rates. ISGT Gian Paramo, Arturo S. Bretas, Sean P. Meyn
2023	J	`jnl`	High-Impedance Non-Linear Fault Detection via Eigenvalue Analysis with low PMU Sampling Rates. CoRR Gian Paramo, Arturo S. Bretas, Sean P. Meyn
2023	—	`conf`	Inverse Free Zap Stochastic Approximation Extended Abstract. Allerton Caio Kalil Lauand, Ana Busic, Sean P. Meyn
2023	J	`jnl`	Kullback-Leibler-Quadratic Optimal Control. SIAM J. Control. Optim. Neil Cammardella, Ana Busic, Sean P. Meyn
2023	—	`conf`	Learning Optimal Policies in Mean Field Models with Kullback-Leibler Regularization. CDC Ana Busic, Sean P. Meyn, Neil Cammardella
2023	J	`jnl`	Load-Level Control Design for Demand Dispatch With Heterogeneous Flexible Loads. IEEE Trans. Control. Syst. Technol. Joel Mathias, Ana Busic, Sean P. Meyn
2023	J	`jnl`	Stability of Q-Learning Through Design and Optimism. CoRR Sean P. Meyn
2023	J	`jnl`	State-Space Collapse in Resource Allocation for Demand Dispatch and Its Implications for Distributed Control Design. IEEE Trans. Autom. Control. Joel Mathias, Sean P. Meyn, Robert Moye, Joseph Warrington
2023	—	`conf`	The Curse of Memory in Stochastic Approximation. CDC Caio Kalil Lauand, Sean P. Meyn
2022	—	`conf`	A Distributed Control Architecture for Optimal Allocation of Grid-responsive Load Aggregations. ISGT Joel Mathias, Sean P. Meyn, Hala Ballouz, Meisam Ansari
2022	A*	`conf`	Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization. NeurIPS Caio Kalil Lauand, Sean P. Meyn
2022	—	`conf`	Bias in Stochastic Approximation Cannot Be Eliminated With Averaging. Allerton Caio Kalil Lauand, Sean P. Meyn
2022	J	`jnl`	Controlled interacting particle algorithms for simulation-based reinforcement learning. Syst. Control. Lett. Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2022	—	`conf`	Convex Analytic Theory for Convex Q-Learning. CDC Fan Lu, Prashant G. Mehta, Sean P. Meyn, Gergely Neu
2022	J	`jnl`	High Impedance Fault Detection Through Quasi-Static State Estimation: A Parameter Error Modeling Approach. CoRR Austin Cooper, Arturo S. Bretas, Sean P. Meyn, Newton G. Bretas
2022	J	`jnl`	Model-Free Characterizations of the Hamilton-Jacobi-Bellman Equation and Convex Q-Learning in Continuous Time. CoRR Fan Lu, Joel Mathias, Sean P. Meyn, Karanjit Kalsi
2022	J	`jnl`	Q-Learning With Uniformly Bounded Variance. IEEE Trans. Autom. Control. Adithya M. Devraj, Sean P. Meyn
2022	J	`jnl`	Sufficient Exploration for Convex Q-learning. CoRR Fan Lu, Prashant G. Mehta, Sean P. Meyn, Gergely Neu
2022	J	`jnl`	Uncertainty Error Modeling for Non-Linear State Estimation With Unsynchronized SCADA and μPMU Measurements. CoRR Austin Cooper, Arturo S. Bretas, Sean P. Meyn, Newton G. Bretas
2021	C	`conf`	Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation. ACC Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn
2021	C	`conf`	Convex Q-Learning. ACC Fan Lu, Prashant G. Mehta, Sean P. Meyn, Gergely Neu
2021	J	`jnl`	Differential Temporal Difference Learning. IEEE Trans. Autom. Control. Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn
2021	—	`conf`	Kullback-Leibler-Quadratic Optimal Control in a Stochastic Environment. CDC Neil Cammardella, Ana Busic, Sean P. Meyn
2021	C	`conf`	Reinforcement Learning-Based Home Energy Management System for Resiliency. ACC Naren Srivaths Raman, Ninad Gaikwad, Prabir Barooah, Sean P. Meyn
2021	J	`jnl`	Reliable Power Grid: Long Overdue Alternatives to Surge Pricing. CoRR Hala Ballouz, Joel Mathias, Sean P. Meyn, Robert Moye, Joseph Warrington
2021	J	`jnl`	Revisiting the ODE Method for Recursive Algorithms: Fast Convergence Using Quasi Stochastic Approximation. J. Syst. Sci. Complex. Shuhang Chen, Adithya M. Devraj, Andrey Berstein, Sean P. Meyn
2021	—	`conf`	The Conditional Poincaré Inequality for Filter Stability. CDC Jin-Won Kim, Prashant G. Mehta, Sean P. Meyn
2021	J	`jnl`	The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning. CoRR Vivek S. Borkar, Shuhang Chen, Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn
2020	J	`jnl`	Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation. CoRR Shuhang Chen, Adithya M. Devraj, Andrey Bernstein, Sean P. Meyn
2020	J	`jnl`	Convex Q-Learning, Part 1: Deterministic Optimal Control. CoRR Prashant G. Mehta, Sean P. Meyn
2020	J	`jnl`	Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter. SIAM/ASA J. Uncertain. Quantification Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2020	A	`conf`	Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation. AISTATS Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
2020	J	`jnl`	Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation. CoRR Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
2020	C	`conf`	Flexibility capacity of thermostatically controlled loads with cycling/lock-out constraints. ACC Austin R. Coffman, Neil Cammardella, Prabir Barooah, Sean P. Meyn
2020	J	`jnl`	Lecture Notes on Control System Theory and Design. CoRR Tamer Basar, Sean P. Meyn, William R. Perkins
2020	C	`conf`	Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow. ACC Yue Chen, Andrey Bernstein, Adithya M. Devraj, Sean P. Meyn
2020	J	`jnl`	Q-learning with Uniformly Bounded Variance: Large Discounting is Not a Barrier to Fast Learning. CoRR Adithya M. Devraj, Sean P. Meyn
2020	C	`conf`	Reinforcement Learning for Control of Building HVAC Systems. ACC Naren Srivaths Raman, Adithya M. Devraj, Prabir Barooah, Sean P. Meyn
2020	C	`conf`	Simultaneous Allocation and Control of Distributed Energy Resources via Kullback-Leibler-Quadratic Optimal Control. ACC Neil Cammardella, Ana Busic, Sean P. Meyn
2020	A*	`conf`	Zap Q-Learning With Nonlinear Function Approximation. NeurIPS Shuhang Chen, Adithya M. Devraj, Fan Lu, Ana Busic, Sean P. Meyn
2020	C	`conf`	Zap Q-Learning for Optimal Stopping. ACC Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
2019	J	`jnl`	Aggregate capacity of TCLs with cycling constraints. CoRR Austin R. Coffman, Neil Cammardella, Prabir Barooah, Sean P. Meyn
2019	C	`conf`	An Approach to Duality in Nonlinear Filtering. ACC Jin-Won Kim, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2019	C	`conf`	Data-driven proximal algorithms for the design of structured optimal feedback gains. ACC Sepideh Hassan-Moghaddam, Mihailo R. Jovanovic, Sean P. Meyn
2019	—	`conf`	Distributed Control of Thermostatically Controlled Loads: Kullback-Leibler Optimal Control in Continuous Time. CDC Ana Busic, Sean P. Meyn
2019	C	`conf`	Gain Function Tracking in the Feedback Particle Filter. ACC Anand Radhakrishnan, Sean P. Meyn
2019	J	`jnl`	Gain function approximation in the Feedback Particle Filter. CoRR Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2019	—	`conf`	Kullback-Leibler-Quadratic Optimal Control of Flexible Power Demand. CDC Neil Cammardella, Ana Busic, Yuting Ji, Sean P. Meyn
2019	J	`jnl`	Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow. CoRR Yue Chen, Andrey Bernstein, Adithya M. Devraj, Sean P. Meyn
2019	—	`conf`	On Matrix Momentum Stochastic Approximation and Applications to Q-learning. Allerton Adithya M. Devraj, Ana Busic, Sean P. Meyn
2019	—	`conf`	Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning. CDC Andrey Bernstein, Yue Chen, Marcello Colombino, Emiliano Dall'Anese, Prashant G. Mehta, Sean P. Meyn
2019	—	`conf`	State Space Collapse in Resource Allocation for Demand Dispatch. CDC Joel Mathias, Robert Moye, Sean P. Meyn, Joseph Warrington
2019	J	`jnl`	State Space Collapse in Resource Allocation for Demand Dispatch. CoRR Joel Mathias, Robert Moye, Sean P. Meyn, Joseph Warrington
2019	—	`conf`	What is the Lagrangian for Nonlinear Filtering? CDC Jin-Won Kim, Prashant G. Mehta, Sean P. Meyn
2019	J	`jnl`	Zap Q-Learning With Nonlinear Function Approximation. CoRR Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
2019	J	`jnl`	Zap~Q-Learning for Optimal Stopping Time Problems. CoRR Shuhang Chen, Adithya M. Devraj, Ana Busic, Sean P. Meyn
2018	A*	`conf`	Action-Constrained Markov Decision Processes With Kullback-Leibler Cost. COLT Ana Busic, Sean P. Meyn
2018	—	`conf`	Balancing California's Grid Without Batteries. CDC Neil Cammardella, Joel Mathias, Matthew Kiener, Ana Busic, Sean P. Meyn
2018	J	`jnl`	Differential Temporal Difference Learning. CoRR Adithya M. Devraj, Ioannis Kontoyiannis, Sean P. Meyn
2018	J	`jnl`	Distributed Computation of Equilibria in Misspecified Convex Stochastic Nash Games. IEEE Trans. Autom. Control. Hao Jiang, Uday V. Shanbhag, Sean P. Meyn
2018	J	`jnl`	Estimation and Control of Quality of Service in Demand Dispatch. IEEE Trans. Smart Grid Yue Chen, Ana Busic, Sean P. Meyn
2018	C	`conf`	Feedback Particle Filter Design Using a Differential-Loss Reproducing Kernel Hilbert Space. ACC Anand Radhakrishnan, Sean P. Meyn
2018	J	`jnl`	Ordinary Differential Equation Methods for Markov Decision Processes and Application to Kullback-Leibler Control Cost. SIAM J. Control. Optim. Ana Busic, Sean P. Meyn
2018	—	`conf`	The Use of Marginal Energy Costs in the Design of U.S. Capacity Markets. HICSS Robert Moye, Sean P. Meyn
2018	J	`jnl`	Zap Meets Momentum: Stochastic Approximation Algorithms with Optimal Convergence Rate. CoRR Adithya M. Devraj, Ana Busic, Sean P. Meyn
2017	—	`conf`	Demand Dispatch with Heterogeneous Intelligent Loads. HICSS Joel Mathias, Ana Busic, Sean P. Meyn
2017	C	`conf`	Distributed control of a fleet of batteries. ACC Ana Busic, Md Umar Hashmi, Sean P. Meyn
2017	C	`conf`	Error estimates for the kernel gain function approximation in the feedback particle filter. ACC Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn
2017	J	`jnl`	Fastest Convergence for Q-learning. CoRR Adithya M. Devraj, Sean P. Meyn
2017	J	`jnl`	State Estimation for the Individual and the Population in Mean Field Control With Application to Demand Dispatch. IEEE Trans. Autom. Control. Yue Chen, Ana Busic, Sean P. Meyn
2017	—	`conf`	Zap Q-Learning. NIPS Adithya M. Devraj, Sean P. Meyn
2016	J	`jnl`	Demand Dispatch with Heterogeneous Intelligent Loads. CoRR Joel Mathias, Ana Busic, Sean P. Meyn
2016	J	`jnl`	Differential TD Learning for Value Function Approximation. CoRR Adithya M. Devraj, Sean P. Meyn
2016	—	`conf`	Differential TD learning for value function approximation. CDC Adithya M. Devraj, Sean P. Meyn
2016	J	`jnl`	Distributed Randomized Control for Demand Dispatch. CoRR Ana Busic, Sean P. Meyn
2016	—	`conf`	Distributed randomized control for demand dispatch. CDC Ana Busic, Sean P. Meyn
2016	J	`jnl`	Ergodic Theory for Controlled Markov Chains with Stationary Inputs. CoRR Yue Chen, Ana Busic, Sean P. Meyn
2016	J	`jnl`	Estimation and Control of Quality of Service in Demand Dispatch. CoRR Yue Chen, Ana Busic, Sean P. Meyn
2016	J	`jnl`	Feedback Particle Filter for a Continuous-Time Markov Chain. IEEE Trans. Autom. Control. Tao Yang, Prashant G. Mehta, Sean P. Meyn
2016	—	`conf`	Learning techniques for feedback particle filter design. CDC Anand Radhakrishnan, Adithya M. Devraj, Sean P. Meyn
2016	J	`jnl`	Multivariable feedback particle filter. Autom. Tao Yang, Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn
2016	J	`jnl`	Ordinary Differential Equation Methods For Markov Decision Processes and Application to Kullback-Leibler Control Cost. CoRR Ana Busic, Sean P. Meyn
2016	J	`jnl`	Rationally Inattentive Control of Markov Processes. SIAM J. Control. Optim. Ehsan Shafieepoorfard, Maxim Raginsky, Sean P. Meyn
2016	—	`conf`	Smart Fridge / Dumb Grid? Demand Dispatch for the Power Grid of 2020. HICSS Joel Mathias, Rim Kaddah, Ana Busic, Sean P. Meyn
2015	J	`jnl`	Ancillary Service to the Grid Using Intelligent Deferrable Loads. IEEE Trans. Autom. Control. Sean P. Meyn, Prabir Barooah, Ana Busic, Yue Chen, Jordan Ehren
2015	J	`jnl`	Approximate optimality with bounded regret in dynamic matching models. SIGMETRICS Perform. Evaluation Rev. Ana Busic, Sean P. Meyn
2015	C	`conf`	Demand side frequency regulation from commercial building HVAC systems: An experimental study. ACC Yashen Lin, Prabir Barooah, Sean P. Meyn, Timothy Middelkoop
2015	J	`jnl`	Experimental Evaluation of Frequency Regulation From Commercial Building HVAC Systems. IEEE Trans. Smart Grid Yashen Lin, Prabir Barooah, Sean P. Meyn, Timothy Middelkoop
2015	J	`jnl`	Poisson's Equation in Nonlinear Filtering. SIAM J. Control. Optim. Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn, Maxim Raginsky
2015	J	`jnl`	Rationally inattentive control of Markov processes. CoRR Ehsan Shafieepoorfard, Maxim Raginsky, Sean P. Meyn
2015	J	`jnl`	Smart Fridge / Dumb Grid? Demand Dispatch for the Power Grid of 2020. CoRR Joel Mathias, Rim Kaddah, Ana Busic, Sean P. Meyn
2015	—	`conf`	Spectral Decomposition of Demand-Side Flexibility for Reliable Ancillary Services in a Smart Grid. HICSS Prabir Barooah, Ana Busic, Sean P. Meyn
2015	J	`jnl`	State Estimation and Mean Field Control with Application to Demand Dispatch. CoRR Yue Chen, Ana Busic, Sean P. Meyn
2015	—	`conf`	State estimation and mean field control with application to demand dispatch. CDC Yue Chen, Ana Busic, Sean P. Meyn
2014	J	`jnl`	Ancillary Service to the Grid Through Control of Fans in Commercial Building HVAC Systems. IEEE Trans. Smart Grid He Hao, Yashen Lin, Anupama Kowli, Prabir Barooah, Sean P. Meyn
2014	J	`jnl`	Ancillary Service to the Grid Using Intelligent Deferrable Loads. CoRR Sean P. Meyn, Prabir Barooah, Ana Busic, Yue Chen, Jordan Ehren
2014	—	`conf`	Individual risk in mean field control with application to automated demand response. CDC Yue Chen, Ana Busic, Sean P. Meyn
2014	J	`jnl`	Individual risk in mean-field control models for decentralized control, with application to automated demand response. CoRR Yue Chen, Ana Busic, Sean P. Meyn
2014	J	`jnl`	Learning in Mean-Field Games. IEEE Trans. Autom. Control. Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
2014	J	`jnl`	On the Efficiency of Equilibria in Mean-Field Oscillator Games. Dyn. Games Appl. Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
2014	J	`jnl`	Optimization of Dynamic Matching Models. CoRR Ana Busic, Sean P. Meyn
2014	J	`jnl`	Passive Dynamics in Mean Field Control. CoRR Ana Busic, Sean P. Meyn
2014	—	`conf`	Passive dynamics in mean field control. CDC Ana Busic, Sean P. Meyn
2014	—	`conf`	Poisson's equation in nonlinear filtering. CDC Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn, Maxim Raginsky
2013	—	`conf`	A feedback particle filter-based approach to optimal control with partial observations. CDC Prashant G. Mehta, Sean P. Meyn
2013	C	`conf`	Ancillary service for the grid via control of commercial building HVAC systems. ACC He Hao, Anupama Kowli, Yashen Lin, Prabir Barooah, Sean P. Meyn
2013	—	`conf`	Ancillary service to the grid from deferrable loads: The case for intelligent pool pumps in Florida. CDC Sean P. Meyn, Prabir Barooah, Ana Busic, Jordan Ehren
2013	J	`jnl`	Approximate dynamic programming using fluid and diffusion approximations with applications to power management. CoRR Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrishnan Unnikrishnan, Quanyan Zhu, Prashant G. Mehta, Sean P. Meyn, Adam Wierman
2013	J	`jnl`	Feedback Particle Filter. IEEE Trans. Autom. Control. Tao Yang, Prashant G. Mehta, Sean P. Meyn
2013	C	`conf`	Feedback particle filter for a continuous-time Markov chain. ACC Tao Yang, Prashant G. Mehta, Sean P. Meyn
2013	J	`jnl`	Generalized Error Exponents for Small Sample Universal Hypothesis Testing. IEEE Trans. Inf. Theory Dayu Huang, Sean P. Meyn
2013	J	`jnl`	Introduction to the Issue on Learning-Based Decision Making in Dynamic Systems Under Uncertainty. IEEE J. Sel. Top. Signal Process. Qing Zhao, Edwin K. P. Chong, Bhaskar Krishnamachari, Amir Leshem, Sean P. Meyn, Venugopal V. Veeravalli
2013	J	`jnl`	Large deviations for the empirical mean of an M/M/1 queue. Queueing Syst. Theory Appl. Jose H. Blanchet, Peter W. Glynn, Sean P. Meyn
2013	—	`conf`	Low-frequency power-grid ancillary services from commercial building HVAC systems. SmartGridComm Yashen Lin, Prabir Barooah, Sean P. Meyn
2013	C	`conf`	Multi-dimensional feedback particle filter for coupled oscillators. ACC Adam K. Tilton, Prashant G. Mehta, Sean P. Meyn
2013	J	`jnl`	Random-Time, State-Dependent Stochastic Drift for Markov Chains and Application to Stochastic Stabilization Over Erasure Channels. IEEE Trans. Autom. Control. Serdar Yüksel, Sean P. Meyn
2013	C	`conf`	Rational inattention in controlled Markov processes. ACC Ehsan Shafieepoorfard, Maxim Raginsky, Sean P. Meyn
2012	J	`jnl`	Classification with High-Dimensional Sparse Samples CoRR Dayu Huang, Sean P. Meyn
2012	B	`conf`	Classification with high-dimensional sparse samples. ISIT Dayu Huang, Sean P. Meyn
2012	Misc	`conf`	Error exponents for composite hypothesis testing with small samples. ICASSP Dayu Huang, Sean P. Meyn
2012	Misc	`conf`	Feature selection for composite hypothesis testing with small samples: Fundamental limits and algorithms. ICASSP Dayu Huang, Sean P. Meyn
2012	J	`jnl`	Generalized Error Exponents for Sparse Sample Goodness of Fit Tests CoRR Dayu Huang, Sean P. Meyn
2012	—	`conf`	How demand response from commercial buildings will provide the regulation needs of the grid. Allerton Conference He Hao, Timothy Middelkoop, Prabir Barooah, Sean P. Meyn
2012	—	`conf`	Multivariable feedback particle filter. CDC Tao Yang, Richard S. Laugesen, Prashant G. Mehta, Sean P. Meyn
2012	J	`jnl`	Oja's algorithm for graph clustering, Markov spectral decomposition, and risk sensitive control. Autom. Vivek S. Borkar, Sean P. Meyn
2012	—	`conf`	On Nash equilibria in duopolistic power markets subject to make-whole uplift. CDC Gui Wang, Uday V. Shanbhag, Sean P. Meyn
2012	Misc	`conf`	Optimality of coincidence-based goodness of fit test for sparse sample problems. ITA Dayu Huang, Sean P. Meyn
2012	—	`conf`	Real-time prices in an entropic grid. ISGT Gui Wang, Matias Negrete-Pincetic, Anupama Kowli, Ehsan Shafieepoorfard, Sean P. Meyn, Uday V. Shanbhag
2012	J	`jnl`	Synchronization of Coupled Oscillators is a Game. IEEE Trans. Autom. Control. Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
2011	C	`conf`	A mean-field control-oriented approach to particle filtering. ACC Tao Yang, Prashant G. Mehta, Sean P. Meyn
2011	—	`conf`	A recursive learning algorithm for model reduction of Hidden Markov Models. CDC/ECC Kun Deng, Prashant G. Mehta, Sean P. Meyn, Mathukumalli Vidyasagar
2011	—	`conf`	Bifurcation analysis of a heterogeneous mean-field oscillator game model. CDC/ECC Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
2011	J	`jnl`	Estimating Loynes' exponent. Queueing Syst. Theory Appl. Ken R. Duffy, Sean P. Meyn
2011	—	`conf`	Feedback particle filter with mean-field coupling. CDC/ECC Tao Yang, Prashant G. Mehta, Sean P. Meyn
2011	—	`conf`	Learning equilibria in constrained Nash-Cournot games with misspecified demand functions. CDC/ECC Hao Jiang, Uday V. Shanbhag, Sean P. Meyn
2011	J	`jnl`	Minimax Robust Quickest Change Detection. IEEE Trans. Inf. Theory Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli, Sean P. Meyn
2011	C	`conf`	On the efficiency of equilibria in mean-field oscillator games. ACC Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
2011	J	`jnl`	Optimal Kullback-Leibler Aggregation via Spectral Theory of Markov Chains. IEEE Trans. Autom. Control. Kun Deng, Prashant G. Mehta, Sean P. Meyn
2011	C	`conf`	Quasi stochastic approximation. ACC Darshan Shirodkar, Sean P. Meyn
2011	—	`conf`	TD-learning with exploration. CDC/ECC Sean P. Meyn, Amit Surana
2011	J	`jnl`	Universal and Composite Hypothesis Testing via Mismatched Divergence. IEEE Trans. Inf. Theory Jayakrishnan Unnikrishnan, Dayu Huang, Sean P. Meyn, Amit Surana, Venugopal V. Veeravalli
2010	J	`jnl`	A Random Search Framework for Convergence Analysis of Distributed Beamforming With Feedback. IEEE Trans. Inf. Theory Che Lin, Venugopal V. Veeravalli, Sean P. Meyn
2010	—	`conf`	A universal divergence-rate estimator for steganalysis in timing channels. WIFS Shankar Sadasivam, Pierre Moulin, Sean P. Meyn
2010	—	`conf`	Aggregation-based model reduction of a Hidden Markov Model. CDC Kun Deng, Prashant G. Mehta, Sean P. Meyn
2010	C	`conf`	Building thermal model reduction via aggregation of states. ACC Kun Deng, Prabir Barooah, Prashant G. Mehta, Sean P. Meyn
2010	J	`jnl`	Feature Extraction for Universal Hypothesis Testing via Rank-constrained Optimization CoRR Dayu Huang, Sean P. Meyn
2010	B	`conf`	Feature extraction for universal hypothesis testing via rank-constrained optimization. ISIT Dayu Huang, Sean P. Meyn
2010	—	`conf`	Foreword. Allerton P. Viswanath, Sean P. Meyn
2010	J	`jnl`	Introduction to the special issue on information theory in molecular biology and neuroscience. IEEE Trans. Inf. Theory Olgica Milenkovic, Gil Alterovitz, Gerard Battail, Todd P. Coleman, Joachim Hagenauer, Sean P. Meyn, Nathan D. Price, Marco Ramoni, Ilya Shmulevich, Wojciech Szpankowski
2010	—	`conf`	Learning in mean-field oscillator games. CDC Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
2010	J	`jnl`	Most likely paths to error when estimating the mean of a reflected random walk. Perform. Evaluation Ken R. Duffy, Sean P. Meyn
2010	J	`jnl`	On exponential ergodicity of multiclass queueing networks. Queueing Syst. Theory Appl. David Gamarnik, Sean P. Meyn
2010	B	`conf`	On thresholds for robust goodness-of-fit tests. ITW Jayakrishnan Unnikrishnan, Sean P. Meyn, Venugopal V. Veeravalli
2010	—	`conf`	Optimal cross-layer wireless control policies using TD learning. CDC Sean P. Meyn, Wei Chen, Daniel O'Neill
2010	J	`jnl`	Random-Time, State-Dependent Stochastic Drift for Markov Chains and Application to Stochastic Stabilization Over Erasure Channels. CoRR Serdar Yüksel, Sean P. Meyn
2010	C	`conf`	Synchronization of coupled oscillators is a game. ACC Huibing Yin, Prashant G. Mehta, Sean P. Meyn, Uday V. Shanbhag
2010	—	`conf`	The value of volatile resources in electricity markets. CDC Sean P. Meyn, Matias Negrete-Pincetic, Gui Wang, Anupama Kowli, Ehsan Shafieepoorfard
2009	—	`conf`	A sensor-utility-network method for estimation of occupancy in buildings. CDC Sean P. Meyn, Amit Surana, Yiqing Lin, Stella Maris Oggianu, Satish Narayanan, Thomas A. Frewen
2009	—	`conf`	A simulation-based method for aggregating Markov chains. CDC Kun Deng, Prashant G. Mehta, Sean P. Meyn
2009	C	`conf`	An information-theoretic framework to aggregate a Markov chain. ACC Kun Deng, Yu Sun, Prashant G. Mehta, Sean P. Meyn
2009	—	`conf`	Anomaly detection using projective Markov models in a distributed sensor network. CDC Sean P. Meyn, Amit Surana, Yiqing Lin, Satish Narayanan
2009	—	`conf`	Approximate dynamic programming using fluid and diffusion approximations with applications to power management. CDC Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrishnan Unnikrishnan, Quanyan Zhu, Prashant G. Mehta, Sean P. Meyn, Adam Wierman
2009	J	`jnl`	Coding and control for communication networks. Queueing Syst. Theory Appl. Wei Chen, Danail Traskov, Michael Heindlmaier, Muriel Médard, Sean P. Meyn, Asuman E. Ozdaglar
2009	B	`conf`	Least favorable distributions for robust quickest change detection. ISIT Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli, Sean P. Meyn
2009	J	`jnl`	Minimax Robust Quickest Change Detection CoRR Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli, Sean P. Meyn
2009	—	`conf`	Q-learning and Pontryagin's Minimum Principle. CDC Prashant G. Mehta, Sean P. Meyn
2009	J	`jnl`	Stability and Asymptotic Optimality of Generalized MaxWeight Policies. SIAM J. Control. Optim. Sean P. Meyn
2009	B	`conf`	Statistical SVMs for robust detection, supervised learning, and universal classification. ITW Dayu Huang, Jayakrishnan Unnikrishnan, Sean P. Meyn, Venugopal V. Veeravalli, Amit Surana
2009	J	`jnl`	Universal and Composite Hypothesis Testing via Mismatched Divergence CoRR Jayakrishnan Unnikrishnan, Dayu Huang, Sean P. Meyn, Amit Surana, Venugopal V. Veeravalli
2008	A*	`conf`	An analysis of reinforcement learning with function approximation. ICML Francisco S. Melo, Sean P. Meyn, M. Isabel Ribeiro
2008	C	`conf`	Belief propagation in feedback systems: Connections to bode and observability. ACC Yu Sun, Prashant G. Mehta, Sean P. Meyn
2008	—	`conf`	Control variates as screening functions. VALUETOOLS Sofia Kyriazopoulou-Panagiotopoulou, Ioannis Kontoyiannis, Sean P. Meyn
2008	J	`jnl`	Distributed Beamforming with Feedback: Convergence Analysis CoRR Che Lin, Venugopal V. Veeravalli, Sean P. Meyn
2008	C	`conf`	Model reduction for reduced order estimation in traffic models. ACC Joseph S. Niedbalski, Kun Deng, Prashant G. Mehta, Sean P. Meyn
2008	—	`conf`	Oja's algorithm for graph clustering and Markov spectral decomposition. VALUETOOLS Vivek S. Borkar, Sean P. Meyn
2008	—	`conf`	On complex spectra and metastability of Markov models. CDC Sean P. Meyn, Gregory Hagen, George Mathew, Andrzej Banaszuk
2008	A*	`conf`	Piecewise Linear Dynamic Programming for Constrained POMDPs. AAAI Joshua D. Isom, Sean P. Meyn, Richard D. Braatz
2008	—	`conf`	Resource pooling for optimal evacuation of a large building. CDC Kun Deng, Wei Chen, Prashant G. Mehta, Sean P. Meyn
2008	—	`conf`	Shannon meets Bellman: Feature based Markovian models for detection and optimization. CDC Sean P. Meyn, George Mathew
2007	—	`conf`	Efficiency and marginal cost pricing in dynamic competitive markets with friction. CDC In-Koo Cho, Sean P. Meyn
2007	—	`conf`	Myopic policies and maxweight policies for stochastic networks. CDC Sean P. Meyn
2006	J	`jnl`	Error Exponents for Channel Coding With Application to Signal Constellation Design. IEEE J. Sel. Areas Commun. Jianyi Huang, Sean P. Meyn, Muriel Médard
2006	—	`conf`	Exponential bounds and stopping rules for MCMC and general Markov chains. VALUETOOLS Ioannis Kontoyiannis, Luis Alfonso Lastras-Montaño, Sean P. Meyn
2006	—	`conf`	ODE methods for Markov chain stability with applications to MCMC. VALUETOOLS Gersende Fort, Eric Moulines, Sean P. Meyn, Pierre Priouret
2006	J	`jnl`	Reliability by design in distributed power transmission networks. Autom. Mike Chen, In-Koo Cho, Sean P. Meyn
2006	J	`jnl`	Robust Measurement-Based Admission Control Using Markov's Theory of Canonical Distributions. IEEE Trans. Inf. Theory Charuhas Pandit, Sean P. Meyn
2005	J	`jnl`	Characterization and computation of optimal distributions for channel coding. IEEE Trans. Inf. Theory Jianyi Huang, Sean P. Meyn
2005	J	`jnl`	Dynamic Safety-Stocks for Asymptotic Optimality in Stochastic Networks. Queueing Syst. Theory Appl. Sean P. Meyn
2005	B	`conf`	Relative entropy and exponential deviation bounds for general Markov chains. ISIT Ioannis Kontoyiannis, Luis Alfonso Lastras-Montaño, Sean P. Meyn
2005	J	`jnl`	Workload Models for Stochastic Networks: Value Functions and Performance Evaluation. IEEE Trans. Autom. Control. Sean P. Meyn
2004	B	`conf`	Asymptotic robust Neyman-Pearson hypothesis testing based on moment classes. ISIT Charuhas Pandit, Sean P. Meyn, Venugopal V. Veeravalli
2004	J	`jnl`	Capacity of time-slotted ALOHA packetized multiple-access systems over the AWGN channel. IEEE Trans. Wirel. Commun. Muriel Médard, Jianyi Huang, Andrea J. Goldsmith, Sean P. Meyn, Todd P. Coleman
2004	—	`conf`	Dynamic safety-stocks for asymptotic optimality in stochastic networks. CDC Sean P. Meyn
2004	B	`conf`	Error exponents for channel coding and signal constellation design. ISIT Jianyi Huang, Sean P. Meyn, Muriel Médard
2004	B	`conf`	Extremal distributions in information theory and hypothesis testing. ITW Charuhas Pandit, Jianyi Huang, Sean P. Meyn, Venugopal V. Veeravalli
2004	J	`jnl`	Management of demand-driven production systems. IEEE Trans. Autom. Control. Mike Chen, Richard Dubrawski, Sean P. Meyn
2003	C	`conf`	Asymptotic properties of two time-scale stochastic approximation algorithms with constant step sizes. ACC Vladislav B. Tadic, Sean P. Meyn
2003	J	`jnl`	Bounds on the throughput of congestion controllers in the presence of feedback delay. IEEE/ACM Trans. Netw. Sanjay Shakkottai, R. Srikant, Sean P. Meyn
2003	—	`conf`	Dynamics of ancillary service prices in power distribution systems. CDC In-Koo Cho, Sean P. Meyn
2003	J	`jnl`	In Search of Sensitivity in Network Optimization. Queueing Syst. Theory Appl. Mike Chen, Charuhas Pandit, Sean P. Meyn
2003	J	`jnl`	Performance Evaluation and Policy Selection in Multiclass Networks. Discret. Event Dyn. Syst. Shane G. Henderson, Sean P. Meyn, Vladislav B. Tadic
2003	—	`conf`	Randomized algorithms for semi-infinite programming problems. ECC Vladislav B. Tadic, Sean P. Meyn, Roberto Tempo
2003	J	`jnl`	Sequencing and Routing in Multiclass Queueing Networks Part II: Workload Relaxations. SIAM J. Control. Optim. Sean P. Meyn
2003	—	`conf`	Value functions and performance evaluation in stochastic network models. CDC Vivek S. Borkar, Sean P. Meyn
2002	J	`jnl`	Risk-Sensitive Optimal Control for Markov Decision Processes with Monotone Cost. Math. Oper. Res. Vivek S. Borkar, Sean P. Meyn
2001	—	`conf`	Boundedness of utility function based congestion controllers in the presence of delay. CDC Sanjay Shakkottai, Rayadurgam Srikant, Sean P. Meyn
2001	J	`jnl`	Sequencing and Routing in Multiclass Queueing Networks Part I: Feedback Regulation. SIAM J. Control. Optim. Sean P. Meyn
2000	J	`jnl`	The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning. SIAM J. Control. Optim. Vivek S. Borkar, Sean P. Meyn
1999	J	`jnl`	Bounds on achievable performance in the identification and adaptive control of time-varying systems. IEEE Trans. Autom. Control. Rayadurgam Ravikanth, Sean P. Meyn
1999	J	`jnl`	Value iteration and optimization of multiclass queueing networks. Queueing Syst. Theory Appl. Rong-Rong Chen, Sean P. Meyn
1998	J	`jnl`	Adaptive dead-time compensation with application to a robotic welding system. IEEE Trans. Control. Syst. Technol. Lyndon J. Brown, Sean P. Meyn, Robert A. Weber
1997	Misc	`conf`	Efficient Simulation of Multiclass Queueing Networks. WSC Shane G. Henderson, Sean P. Meyn
1997	J	`jnl`	Piecewise linear test functions for stability and instability of queueing networks. Queueing Syst. Theory Appl. Douglas G. Down, Sean P. Meyn
1997	J	`jnl`	The policy iteration algorithm for average reward Markov decision processes with general state space. IEEE Trans. Autom. Control. Sean P. Meyn
1996	J	`jnl`	Duality and linear programs for stability and performance analysis of queuing networks and scheduling policies. IEEE Trans. Autom. Control. Poornachandran Kumar, Sean P. Meyn
1995	J	`jnl`	Stability and convergence of moments for multiclass queueing networks via fluid limit models. IEEE Trans. Autom. Control. Jian Gang Dai, Sean P. Meyn
1995	J	`jnl`	Stability of acyclic multiclass queueing networks. IEEE Trans. Autom. Control. Douglas G. Down, Sean P. Meyn
1995	J	`jnl`	Stability of queueing networks and scheduling policies. IEEE Trans. Autom. Control. Poornachandran Kumar, Sean P. Meyn
1993	—	`book`	Markov Chains and Stochastic Stability Sean P. Meyn, Richard L. Tweedie
1993	J	`jnl`	Model reference adaptive control of time varying and stochastic systems. IEEE Trans. Autom. Control. Sean P. Meyn, Lyndon J. Brown
1993	J	`jnl`	Recurrence times of buffer overflows in Jackson networks. IEEE Trans. Inf. Theory Sean P. Meyn, Michael R. Frater