Markov Chains and Stochastic Stability - Sean P. Meyn; Richard L. Tweedie (Springer, 1993)

Model reference adaptive control of time varying and stochastic systems. - Sean P. Meyn; Lyndon J. Brown (IEEE Trans. Autom. Control., 1993)

Recurrence times of buffer overflows in Jackson networks. - Sean P. Meyn; Michael R. Frater (IEEE Trans. Inf. Theory, 1993)

Stability and convergence of moments for multiclass queueing networks via fluid limit models. - Jim G. Dai; Sean P. Meyn (IEEE Trans. Autom. Control., 1995)

Stability of acyclic multiclass queueing networks. - Douglas G. Down; Sean P. Meyn (IEEE Trans. Autom. Control., 1995)

Stability of queueing networks and scheduling policies. - Poornachandran Kumar; Sean P. Meyn (IEEE Trans. Autom. Control., 1995)

Duality and linear programs for stability and performance analysis of queuing networks and scheduling policies. - Poornachandran Kumar; Sean P. Meyn (IEEE Trans. Autom. Control., 1996)

Efficient Simulation of Multiclass Queueing Networks. - Shane G. Henderson; Sean P. Meyn (WSC, 1997)

Piecewise linear test functions for stability and instability of queueing networks. - Douglas G. Down; Sean P. Meyn (Queueing Syst. Theory Appl., 1997)

The policy iteration algorithm for average reward Markov decision processes with general state space. - Sean P. Meyn (IEEE Trans. Autom. Control., 1997)

Adaptive dead-time compensation with application to a robotic welding system. - Lyndon J. Brown; Sean P. Meyn; Robert A. Weber (IEEE Trans. Control. Syst. Technol., 1998)

Value iteration and optimization of multiclass queueing networks. - Rong-Rong Chen; Sean P. Meyn (Queueing Syst. Theory Appl., 1999)

Bounds on achievable performance in the identification and adaptive control of time-varying systems. - Rayadurgam Ravikanth; Sean P. Meyn (IEEE Trans. Autom. Control., 1999)

The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning. - Vivek S. Borkar; Sean P. Meyn (SIAM J. Control. Optim., 2000)

Boundedness of utility function based congestion controllers in the presence of delay. - Sanjay Shakkottai; Rayadurgam Srikant; Sean P. Meyn (CDC, 2001)

Sequencing and Routing in Multiclass Queueing Networks Part I: Feedback Regulation. - Sean P. Meyn (SIAM J. Control. Optim., 2001)

Risk-Sensitive Optimal Control for Markov Decision Processes with Monotone Cost. - Vivek S. Borkar; Sean P. Meyn (Math. Oper. Res., 2002)

Asymptotic properties of two time-scale stochastic approximation algorithms with constant step sizes. - Vladislav B. Tadic; Sean P. Meyn (ACC, 2003)

Value functions and performance evaluation in stochastic network models. - Vivek S. Borkar; Sean P. Meyn (CDC, 2003)

Dynamics of ancillary service prices in power distribution systems. - In-Koo Cho; Sean P. Meyn (CDC, 2003)

Randomized algorithms for semi-infinite programming problems. - Vladislav B. Tadic; Sean P. Meyn; Roberto Tempo (ECC, 2003)

Performance Evaluation and Policy Selection in Multiclass Networks. - Shane G. Henderson; Sean P. Meyn; Vladislav B. Tadic (Discret. Event Dyn. Syst., 2003)

In Search of Sensitivity in Network Optimization. - Mike Chen; Charuhas Pandit; Sean P. Meyn (Queueing Syst. Theory Appl., 2003)

Sequencing and Routing in Multiclass Queueing Networks Part II: Workload Relaxations. - Sean P. Meyn (SIAM J. Control. Optim., 2003)

Bounds on the throughput of congestion controllers in the presence of feedback delay. - Sanjay Shakkottai; R. Srikant 001; Sean P. Meyn (IEEE/ACM Trans. Netw., 2003)

Error exponents for channel coding and signal constellation design. - Jianyi Huang; Sean P. Meyn; Muriel Médard (ISIT, 2004)

Asymptotic robust Neyman-Pearson hypothesis testing based on moment classes. - Charuhas Pandit; Sean P. Meyn; Venugopal V. Veeravalli (ISIT, 2004)

Extremal distributions in information theory and hypothesis testing. - Charuhas Pandit; Jianyi Huang; Sean P. Meyn; Venugopal V. Veeravalli (ITW, 2004)

Management of demand-driven production systems. - Mike Chen; Richard Dubrawski; Sean P. Meyn (IEEE Trans. Autom. Control., 2004)

Capacity of time-slotted ALOHA packetized multiple-access systems over the AWGN channel. - Muriel Médard; Jianyi Huang; Andrea J. Goldsmith; Sean P. Meyn; Todd P. Coleman (IEEE Trans. Wirel. Commun., 2004)

Relative entropy and exponential deviation bounds for general Markov chains. - Ioannis Kontoyiannis; Luis Alfonso Lastras-Montaño; Sean P. Meyn (ISIT, 2005)

Dynamic Safety-Stocks for Asymptotic Optimality in Stochastic Networks. - Sean P. Meyn (Queueing Syst. Theory Appl., 2005)

Workload Models for Stochastic Networks: Value Functions and Performance Evaluation. - Sean P. Meyn (IEEE Trans. Autom. Control., 2005)

Characterization and computation of optimal distributions for channel coding. - Jianyi Huang; Sean P. Meyn (IEEE Trans. Inf. Theory, 2005)

ODE methods for Markov chain stability with applications to MCMC. - Gersende Fort; Eric Moulines; Sean P. Meyn; Pierre Priouret (VALUETOOLS, 2006)

Exponential bounds and stopping rules for MCMC and general Markov chains. - Ioannis Kontoyiannis; Luis Alfonso Lastras-Montaño; Sean P. Meyn (VALUETOOLS, 2006)

Reliability by design in distributed power transmission networks. - Mike Chen; In-Koo Cho; Sean P. Meyn (Autom., 2006)

Error Exponents for Channel Coding With Application to Signal Constellation Design. - Jianyi Huang; Sean P. Meyn; Muriel Médard (IEEE J. Sel. Areas Commun., 2006)

Robust Measurement-Based Admission Control Using Markov's Theory of Canonical Distributions. - Charuhas Pandit; Sean P. Meyn (IEEE Trans. Inf. Theory, 2006)

Efficiency and marginal cost pricing in dynamic competitive markets with friction. - In-Koo Cho; Sean P. Meyn (CDC, 2007)

Myopic policies and maxweight policies for stochastic networks. - Sean P. Meyn (CDC, 2007)

Piecewise Linear Dynamic Programming for Constrained POMDPs. - Joshua D. Isom; Sean P. Meyn; Richard D. Braatz (AAAI, 2008)

Model reduction for reduced order estimation in traffic models. - Joseph S. Niedbalski; Kun Deng; Prashant G. Mehta; Sean P. Meyn (ACC, 2008)

Belief propagation in feedback systems: Connections to bode and observability. - Yu Sun 024; Prashant G. Mehta; Sean P. Meyn (ACC, 2008)

Resource pooling for optimal evacuation of a large building. - Kun Deng; Wei Chen 020; Prashant G. Mehta; Sean P. Meyn (CDC, 2008)

On complex spectra and metastability of Markov models. - Sean P. Meyn; Gregory Hagen; George Mathew; Andrzej Banaszuk (CDC, 2008)

Shannon meets Bellman: Feature based Markovian models for detection and optimization. - Sean P. Meyn; George Mathew (CDC, 2008)

An analysis of reinforcement learning with function approximation. - Francisco S. Melo; Sean P. Meyn; M. Isabel Ribeiro (ICML, 2008)

Oja's algorithm for graph clustering and Markov spectral decomposition. - Vivek S. Borkar; Sean P. Meyn (VALUETOOLS, 2008)

Control variates as screening functions. - Sofia Kyriazopoulou-Panagiotopoulou; Ioannis Kontoyiannis; Sean P. Meyn (VALUETOOLS, 2008)

Distributed Beamforming with Feedback: Convergence Analysis - Che Lin; Venugopal V. Veeravalli; Sean P. Meyn (CoRR, 2008)

An information-theoretic framework to aggregate a Markov chain. - Kun Deng; Yu Sun 024; Prashant G. Mehta; Sean P. Meyn (ACC, 2009)

Approximate dynamic programming using fluid and diffusion approximations with applications to power management. - Wei Chen 020; Dayu Huang; Ankur A. Kulkarni; Jayakrishnan Unnikrishnan; Quanyan Zhu; Prashant G. Mehta; Sean P. Meyn; Adam Wierman (CDC, 2009)

A simulation-based method for aggregating Markov chains. - Kun Deng; Prashant G. Mehta; Sean P. Meyn (CDC, 2009)

Q-learning and Pontryagin's Minimum Principle. - Prashant G. Mehta; Sean P. Meyn (CDC, 2009)

Anomaly detection using projective Markov models in a distributed sensor network. - Sean P. Meyn; Amit Surana; Yiqing Lin; Satish Narayanan (CDC, 2009)

A sensor-utility-network method for estimation of occupancy in buildings. - Sean P. Meyn; Amit Surana; Yiqing Lin; Stella Maris Oggianu; Satish Narayanan; Thomas A. Frewen (CDC, 2009)

Least favorable distributions for robust quickest change detection. - Jayakrishnan Unnikrishnan; Venugopal V. Veeravalli; Sean P. Meyn (ISIT, 2009)

Statistical SVMs for robust detection, supervised learning, and universal classification. - Dayu Huang; Jayakrishnan Unnikrishnan; Sean P. Meyn; Venugopal V. Veeravalli; Amit Surana (ITW, 2009)

Coding and control for communication networks. - Wei Chen 020; Danail Traskov; Michael Heindlmaier; Muriel Médard; Sean P. Meyn; Asuman E. Ozdaglar (Queueing Syst. Theory Appl., 2009)

Stability and Asymptotic Optimality of Generalized MaxWeight Policies. - Sean P. Meyn (SIAM J. Control. Optim., 2009)

Foreword. - P. Viswanath; Sean P. Meyn (Allerton, 2010)

Building thermal model reduction via aggregation of states. - Kun Deng; Prabir Barooah; Prashant G. Mehta; Sean P. Meyn (ACC, 2010)

Aggregation-based model reduction of a Hidden Markov Model. - Kun Deng; Prashant G. Mehta; Sean P. Meyn (CDC, 2010)

Optimal cross-layer wireless control policies using TD learning. - Sean P. Meyn; Wei Chen 020; Daniel O'Neill (CDC, 2010)

The value of volatile resources in electricity markets. - Sean P. Meyn; Matias Negrete-Pincetic; Gui Wang; Anupama Kowli; Ehsan Shafieepoorfard (CDC, 2010)

Learning in mean-field oscillator games. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (CDC, 2010)

Feature extraction for universal hypothesis testing via rank-constrained optimization. - Dayu Huang; Sean P. Meyn (ISIT, 2010)

On thresholds for robust goodness-of-fit tests. - Jayakrishnan Unnikrishnan; Sean P. Meyn; Venugopal V. Veeravalli (ITW, 2010)

A universal divergence-rate estimator for steganalysis in timing channels. - Shankar Sadasivam; Pierre Moulin; Sean P. Meyn (WIFS, 2010)

Most likely paths to error when estimating the mean of a reflected random walk. - Ken R. Duffy; Sean P. Meyn (Perform. Evaluation, 2010)

On exponential ergodicity of multiclass queueing networks. - David Gamarnik; Sean P. Meyn (Queueing Syst. Theory Appl., 2010)

A Random Search Framework for Convergence Analysis of Distributed Beamforming With Feedback. - Che Lin; Venugopal V. Veeravalli; Sean P. Meyn (IEEE Trans. Inf. Theory, 2010)

Introduction to the special issue on information theory in molecular biology and neuroscience. - Olgica Milenkovic; Gil Alterovitz; Gerard Battail; Todd P. Coleman; Joachim Hagenauer; Sean P. Meyn; Nathan D. Price 001; Marco Ramoni; Ilya Shmulevich; Wojciech Szpankowski (IEEE Trans. Inf. Theory, 2010)

Quasi stochastic approximation. - Darshan Shirodkar; Sean P. Meyn (ACC, 2011)

A mean-field control-oriented approach to particle filtering. - Tao Yang 017; Prashant G. Mehta; Sean P. Meyn (ACC, 2011)

A recursive learning algorithm for model reduction of Hidden Markov Models. - Kun Deng; Prashant G. Mehta; Sean P. Meyn; Mathukumalli Vidyasagar (CDC/ECC, 2011)

Learning equilibria in constrained Nash-Cournot games with misspecified demand functions. - Hao Jiang; Uday V. Shanbhag; Sean P. Meyn (CDC/ECC, 2011)

TD-learning with exploration. - Sean P. Meyn; Amit Surana (CDC/ECC, 2011)

Feedback particle filter with mean-field coupling. - Tao Yang 017; Prashant G. Mehta; Sean P. Meyn (CDC/ECC, 2011)

Bifurcation analysis of a heterogeneous mean-field oscillator game model. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (CDC/ECC, 2011)

Estimating Loynes' exponent. - Ken R. Duffy; Sean P. Meyn (Queueing Syst. Theory Appl., 2011)

Optimal Kullback-Leibler Aggregation via Spectral Theory of Markov Chains. - Kun Deng; Prashant G. Mehta; Sean P. Meyn (IEEE Trans. Autom. Control., 2011)

Universal and Composite Hypothesis Testing via Mismatched Divergence. - Jayakrishnan Unnikrishnan; Dayu Huang; Sean P. Meyn; Amit Surana; Venugopal V. Veeravalli (IEEE Trans. Inf. Theory, 2011)

Minimax Robust Quickest Change Detection. - Jayakrishnan Unnikrishnan; Venugopal V. Veeravalli; Sean P. Meyn (IEEE Trans. Inf. Theory, 2011)

How demand response from commercial buildings will provide the regulation needs of the grid. - He Hao 001; Timothy Middelkoop; Prabir Barooah; Sean P. Meyn (Allerton Conference, 2012)

On Nash equilibria in duopolistic power markets subject to make-whole uplift. - Gui Wang; Uday V. Shanbhag; Sean P. Meyn (CDC, 2012)

Feature selection for composite hypothesis testing with small samples: Fundamental limits and algorithms. - Dayu Huang; Sean P. Meyn (ICASSP, 2012)

Error exponents for composite hypothesis testing with small samples. - Dayu Huang; Sean P. Meyn (ICASSP, 2012)

Real-time prices in an entropic grid. - Gui Wang; Matias Negrete-Pincetic; Anupama Kowli; Ehsan Shafieepoorfard; Sean P. Meyn; Uday V. Shanbhag (ISGT, 2012)

Classification with high-dimensional sparse samples. - Dayu Huang; Sean P. Meyn (ISIT, 2012)

Optimality of coincidence-based goodness of fit test for sparse sample problems. - Dayu Huang; Sean P. Meyn (ITA, 2012)

Oja's algorithm for graph clustering, Markov spectral decomposition, and risk sensitive control. - Vivek S. Borkar; Sean P. Meyn (Autom., 2012)

Generalized Error Exponents for Sparse Sample Goodness of Fit Tests - Dayu Huang; Sean P. Meyn (CoRR, 2012)

Synchronization of Coupled Oscillators is a Game. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2012)

Ancillary service for the grid via control of commercial building HVAC systems. - He Hao 001; Anupama Kowli; Yashen Lin; Prabir Barooah; Sean P. Meyn (ACC, 2013)

Rational inattention in controlled Markov processes. - Ehsan Shafieepoorfard; Maxim Raginsky; Sean P. Meyn (ACC, 2013)

Multi-dimensional feedback particle filter for coupled oscillators. - Adam K. Tilton; Prashant G. Mehta; Sean P. Meyn (ACC, 2013)

A feedback particle filter-based approach to optimal control with partial observations. - Prashant G. Mehta; Sean P. Meyn (CDC, 2013)

Ancillary service to the grid from deferrable loads: The case for intelligent pool pumps in Florida. - Sean P. Meyn; Prabir Barooah; Ana Busic; Jordan Ehren (CDC, 2013)

Low-frequency power-grid ancillary services from commercial building HVAC systems. - Yashen Lin; Prabir Barooah; Sean P. Meyn (SmartGridComm, 2013)

Introduction to the Issue on Learning-Based Decision Making in Dynamic Systems Under Uncertainty. - Qing Zhao 001; Edwin K. P. Chong; Bhaskar Krishnamachari; Amir Leshem; Sean P. Meyn; Venugopal V. Veeravalli (IEEE J. Sel. Top. Signal Process., 2013)

Large deviations for the empirical mean of an M/M/1 queue. - Jose H. Blanchet; Peter W. Glynn; Sean P. Meyn (Queueing Syst. Theory Appl., 2013)

Feedback Particle Filter. - Tao Yang 017; Prashant G. Mehta; Sean P. Meyn (IEEE Trans. Autom. Control., 2013)

Random-Time, State-Dependent Stochastic Drift for Markov Chains and Application to Stochastic Stabilization Over Erasure Channels. - Serdar Yüksel; Sean P. Meyn (IEEE Trans. Autom. Control., 2013)

Generalized Error Exponents for Small Sample Universal Hypothesis Testing. - Dayu Huang; Sean P. Meyn (IEEE Trans. Inf. Theory, 2013)

Passive dynamics in mean field control. - Ana Busic; Sean P. Meyn (CDC, 2014)

Individual risk in mean field control with application to automated demand response. - Yue Chen; Ana Busic; Sean P. Meyn (CDC, 2014)

Optimization of Dynamic Matching Models. - Ana Busic; Sean P. Meyn (CoRR, 2014)

Individual risk in mean-field control models for decentralized control, with application to automated demand response. - Yue Chen; Ana Busic; Sean P. Meyn (CoRR, 2014)

On the Efficiency of Equilibria in Mean-Field Oscillator Games. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (Dyn. Games Appl., 2014)

Learning in Mean-Field Games. - Huibing Yin; Prashant G. Mehta; Sean P. Meyn; Uday V. Shanbhag (IEEE Trans. Autom. Control., 2014)

Ancillary Service to the Grid Through Control of Fans in Commercial Building HVAC Systems. - He Hao 001; Yashen Lin; Anupama Kowli; Prabir Barooah; Sean P. Meyn (IEEE Trans. Smart Grid, 2014)

Demand side frequency regulation from commercial building HVAC systems: An experimental study. - Yashen Lin; Prabir Barooah; Sean P. Meyn; Timothy Middelkoop (ACC, 2015)

State estimation and mean field control with application to demand dispatch. - Yue Chen; Ana Busic; Sean P. Meyn (CDC, 2015)

Spectral Decomposition of Demand-Side Flexibility for Reliable Ancillary Services in a Smart Grid. - Prabir Barooah; Ana Busic; Sean P. Meyn (HICSS, 2015)

Poisson's Equation in Nonlinear Filtering. - Richard S. Laugesen; Prashant G. Mehta; Sean P. Meyn; Maxim Raginsky (SIAM J. Control. Optim., 2015)

Approximate optimality with bounded regret in dynamic matching models. - Ana Busic; Sean P. Meyn (SIGMETRICS Perform. Evaluation Rev., 2015)

Ancillary Service to the Grid Using Intelligent Deferrable Loads. - Sean P. Meyn; Prabir Barooah; Ana Busic; Yue Chen; Jordan Ehren (IEEE Trans. Autom. Control., 2015)

Experimental Evaluation of Frequency Regulation From Commercial Building HVAC Systems. - Yashen Lin; Prabir Barooah; Sean P. Meyn; Timothy Middelkoop (IEEE Trans. Smart Grid, 2015)

Distributed randomized control for demand dispatch. - Ana Busic; Sean P. Meyn (CDC, 2016)

Differential TD learning for value function approximation. - Adithya M. Devraj; Sean P. Meyn (CDC, 2016)

Learning techniques for feedback particle filter design. - Anand Radhakrishnan; Adithya M. Devraj; Sean P. Meyn (CDC, 2016)

Smart Fridge / Dumb Grid? Demand Dispatch for the Power Grid of 2020. - Joel Mathias; Rim Kaddah; Ana Busic; Sean P. Meyn (HICSS, 2016)

Multivariable feedback particle filter. - Tao Yang 017; Richard S. Laugesen; Prashant G. Mehta; Sean P. Meyn (Autom., 2016)

Ergodic Theory for Controlled Markov Chains with Stationary Inputs. - Yue Chen; Ana Busic; Sean P. Meyn (CoRR, 2016)

Rationally Inattentive Control of Markov Processes. - Ehsan Shafieepoorfard; Maxim Raginsky; Sean P. Meyn (SIAM J. Control. Optim., 2016)

Feedback Particle Filter for a Continuous-Time Markov Chain. - Tao Yang 017; Prashant G. Mehta; Sean P. Meyn (IEEE Trans. Autom. Control., 2016)

Distributed control of a fleet of batteries. - Ana Busic; Md Umar Hashmi; Sean P. Meyn (ACC, 2017)

Error estimates for the kernel gain function approximation in the feedback particle filter. - Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (ACC, 2017)

Demand Dispatch with Heterogeneous Intelligent Loads. - Joel Mathias; Ana Busic; Sean P. Meyn (HICSS, 2017)

Zap Q-Learning. - Adithya M. Devraj; Sean P. Meyn (NIPS, 2017)

Fastest Convergence for Q-learning. - Adithya M. Devraj; Sean P. Meyn (CoRR, 2017)

State Estimation for the Individual and the Population in Mean Field Control With Application to Demand Dispatch. - Yue Chen; Ana Busic; Sean P. Meyn (IEEE Trans. Autom. Control., 2017)

Feedback Particle Filter Design Using a Differential-Loss Reproducing Kernel Hilbert Space. - Anand Radhakrishnan; Sean P. Meyn (ACC, 2018)

Balancing California's Grid Without Batteries. - Neil Cammardella; Joel Mathias; Matthew Kiener; Ana Busic; Sean P. Meyn (CDC, 2018)

Action-Constrained Markov Decision Processes With Kullback-Leibler Cost. - Ana Busic; Sean P. Meyn (COLT, 2018)

The Use of Marginal Energy Costs in the Design of U.S. Capacity Markets. - Robert Moye; Sean P. Meyn (HICSS, 2018)

Zap Meets Momentum: Stochastic Approximation Algorithms with Optimal Convergence Rate. - Adithya M. Devraj; Ana Busic; Sean P. Meyn (CoRR, 2018)

Ordinary Differential Equation Methods for Markov Decision Processes and Application to Kullback-Leibler Control Cost. - Ana Busic; Sean P. Meyn (SIAM J. Control. Optim., 2018)

Distributed Computation of Equilibria in Misspecified Convex Stochastic Nash Games. - Hao Jiang; Uday V. Shanbhag; Sean P. Meyn (IEEE Trans. Autom. Control., 2018)

Estimation and Control of Quality of Service in Demand Dispatch. - Yue Chen; Ana Busic; Sean P. Meyn (IEEE Trans. Smart Grid, 2018)

On Matrix Momentum Stochastic Approximation and Applications to Q-learning. - Adithya M. Devraj; Ana Busic; Sean P. Meyn (Allerton, 2019)

Data-driven proximal algorithms for the design of structured optimal feedback gains. - Sepideh Hassan-Moghaddam; Mihailo R. Jovanovic; Sean P. Meyn (ACC, 2019)

An Approach to Duality in Nonlinear Filtering. - Jin-Won Kim; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (ACC, 2019)

Gain Function Tracking in the Feedback Particle Filter. - Anand Radhakrishnan; Sean P. Meyn (ACC, 2019)

Quasi-Stochastic Approximation and Off-Policy Reinforcement Learning. - Andrey Bernstein; Yue Chen; Marcello Colombino; Emiliano Dall'Anese; Prashant G. Mehta; Sean P. Meyn (CDC, 2019)

Distributed Control of Thermostatically Controlled Loads: Kullback-Leibler Optimal Control in Continuous Time. - Ana Busic; Sean P. Meyn (CDC, 2019)

Kullback-Leibler-Quadratic Optimal Control of Flexible Power Demand. - Neil Cammardella; Ana Busic; Yuting Ji; Sean P. Meyn (CDC, 2019)

What is the Lagrangian for Nonlinear Filtering? - Jin-Won Kim; Prashant G. Mehta; Sean P. Meyn (CDC, 2019)

State Space Collapse in Resource Allocation for Demand Dispatch. - Joel Mathias; Robert Moye; Sean P. Meyn; Joseph Warrington (CDC, 2019)

Gain function approximation in the Feedback Particle Filter. - Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (CoRR, 2019)

Zap Q-Learning for Optimal Stopping Time Problems. - Shuhang Chen; Adithya M. Devraj; Ana Busic; Sean P. Meyn (CoRR, 2019)

Aggregate capacity of TCLs with cycling constraints. - Austin R. Coffman; Neil Cammardella; Prabir Barooah; Sean P. Meyn (CoRR, 2019)

Zap Q-Learning With Nonlinear Function Approximation. - Shuhang Chen; Adithya M. Devraj; Ana Busic; Sean P. Meyn (CoRR, 2019)

Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation. - Shuhang Chen; Adithya M. Devraj; Ana Busic; Sean P. Meyn (AISTATS, 2020)

Simultaneous Allocation and Control of Distributed Energy Resources via Kullback-Leibler-Quadratic Optimal Control. - Neil Cammardella; Ana Busic; Sean P. Meyn (ACC, 2020)

Model-Free Primal-Dual Methods for Network Optimization with Application to Real-Time Optimal Power Flow. - Yue Chen; Andrey Bernstein; Adithya M. Devraj; Sean P. Meyn (ACC, 2020)

Zap Q-Learning for Optimal Stopping. - Shuhang Chen; Adithya M. Devraj; Ana Busic; Sean P. Meyn (ACC, 2020)

Flexibility capacity of thermostatically controlled loads with cycling/lock-out constraints. - Austin R. Coffman; Neil Cammardella; Prabir Barooah; Sean P. Meyn (ACC, 2020)

Reinforcement Learning for Control of Building HVAC Systems. - Naren Srivaths Raman; Adithya M. Devraj; Prabir Barooah; Sean P. Meyn (ACC, 2020)

Zap Q-Learning With Nonlinear Function Approximation. - Shuhang Chen; Adithya M. Devraj; Fan Lu; Ana Busic; Sean P. Meyn (NeurIPS, 2020)

Q-learning with Uniformly Bounded Variance: Large Discounting is Not a Barrier to Fast Learning. - Adithya M. Devraj; Sean P. Meyn (CoRR, 2020)

Lecture Notes on Control System Theory and Design. - Tamer Basar; Sean P. Meyn; William R. Perkins (CoRR, 2020)

Convex Q-Learning, Part 1: Deterministic Optimal Control. - Prashant G. Mehta; Sean P. Meyn (CoRR, 2020)

Diffusion Map-based Algorithm for Gain Function Approximation in the Feedback Particle Filter. - Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (SIAM/ASA J. Uncertain. Quantification, 2020)

Accelerating Optimization and Reinforcement Learning with Quasi Stochastic Approximation. - Shuhang Chen; Adithya M. Devraj; Andrey Bernstein; Sean P. Meyn (ACC, 2021)

Convex Q-Learning. - Fan Lu; Prashant G. Mehta; Sean P. Meyn; Gergely Neu (ACC, 2021)

Reinforcement Learning-Based Home Energy Management System for Resiliency. - Naren Srivaths Raman; Ninad Gaikwad; Prabir Barooah; Sean P. Meyn (ACC, 2021)

Kullback-Leibler-Quadratic Optimal Control in a Stochastic Environment. - Neil Cammardella; Ana Busic; Sean P. Meyn (CDC, 2021)

The Conditional Poincaré Inequality for Filter Stability. - Jin-Won Kim; Prashant G. Mehta; Sean P. Meyn (CDC, 2021)

Reliable Power Grid: Long Overdue Alternatives to Surge Pricing. - Hala Ballouz; Joel Mathias; Sean P. Meyn; Robert Moye; Joseph Warrington (CoRR, 2021)

The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning. - Vivek S. Borkar; Shuhang Chen; Adithya M. Devraj; Ioannis Kontoyiannis; Sean P. Meyn (CoRR, 2021)

Revisiting the ODE Method for Recursive Algorithms: Fast Convergence Using Quasi Stochastic Approximation. - Shuhang Chen; Adithya M. Devraj; Andrey Berstein; Sean P. Meyn (J. Syst. Sci. Complex., 2021)

Differential Temporal Difference Learning. - Adithya M. Devraj; Ioannis Kontoyiannis; Sean P. Meyn (IEEE Trans. Autom. Control., 2021)

Bias in Stochastic Approximation Cannot Be Eliminated With Averaging. - Caio Kalil Lauand; Sean P. Meyn (Allerton, 2022)

Convex Analytic Theory for Convex Q-Learning. - Fan Lu; Prashant G. Mehta; Sean P. Meyn; Gergely Neu (CDC, 2022)

A Distributed Control Architecture for Optimal Allocation of Grid-responsive Load Aggregations. - Joel Mathias; Sean P. Meyn; Hala Ballouz; Meisam Ansari (ISGT, 2022)

Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization. - Caio Kalil Lauand; Sean P. Meyn (NeurIPS, 2022)

Model-Free Characterizations of the Hamilton-Jacobi-Bellman Equation and Convex Q-Learning in Continuous Time. - Fan Lu; Joel Mathias; Sean P. Meyn; Karanjit Kalsi (CoRR, 2022)

Sufficient Exploration for Convex Q-learning. - Fan Lu; Prashant G. Mehta; Sean P. Meyn; Gergely Neu (CoRR, 2022)

Uncertainty Error Modeling for Non-Linear State Estimation With Unsynchronized SCADA and μPMU Measurements. - Austin Cooper; Arturo S. Bretas; Sean P. Meyn; Newton G. Bretas (CoRR, 2022)

Controlled interacting particle algorithms for simulation-based reinforcement learning. - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (Syst. Control. Lett., 2022)

Q-Learning With Uniformly Bounded Variance. - Adithya M. Devraj; Sean P. Meyn (IEEE Trans. Autom. Control., 2022)

Inverse Free Zap Stochastic Approximation Extended Abstract. - Caio Kalil Lauand; Ana Busic; Sean P. Meyn (Allerton, 2023)

Learning Optimal Policies in Mean Field Models with Kullback-Leibler Regularization. - Ana Busic; Sean P. Meyn; Neil Cammardella (CDC, 2023)

The Curse of Memory in Stochastic Approximation. - Caio Kalil Lauand; Sean P. Meyn (CDC, 2023)

Convex Q Learning in a Stochastic Environment. - Fan Lu; Sean P. Meyn (CDC, 2023)

Convex Q-Learning in Continuous Time with Application to Dispatch of Distributed Energy Resources. - Fan Lu; Joel Mathias; Sean P. Meyn; Karanjit Kalsi (CDC, 2023)

Balancing the Power Grid with Cheap Assets. - Sean P. Meyn; Fan Lu; Joel Mathias (CDC, 2023)

High Impedance Fault Detection Through Quasi-Static State Estimation: A Parameter Error Modeling Approach. - Austin Cooper; Arturo S. Bretas; Sean P. Meyn; Newton G. Bretas (ISGT, 2023)

High-Impedance Non-Linear Fault Detection via Eigenvalue Analysis with low PMU Sampling Rates. - Gian Paramo; Arturo S. Bretas; Sean P. Meyn (ISGT, 2023)

Stability of Q-Learning Through Design and Optimism. - Sean P. Meyn (CoRR, 2023)

Convex Q Learning in a Stochastic Environment: Extended Version. - Fan Lu; Sean P. Meyn (CoRR, 2023)

Load-Level Control Design for Demand Dispatch With Heterogeneous Flexible Loads. - Joel Mathias; Ana Busic; Sean P. Meyn (IEEE Trans. Control. Syst. Technol., 2023)

Kullback-Leibler-Quadratic Optimal Control. - Neil Cammardella; Ana Busic; Sean P. Meyn (SIAM J. Control. Optim., 2023)

State-Space Collapse in Resource Allocation for Demand Dispatch and Its Implications for Distributed Control Design. - Joel Mathias; Sean P. Meyn; Robert Moye; Joseph Warrington (IEEE Trans. Autom. Control., 2023)

Quickest Change Detection Using Mismatched CUSUM Extended Abstract. - Austin Cooper; Sean P. Meyn (Allerton, 2024)

Reinforcement Learning Design for Quickest Change Detection. - Austin Cooper; Sean P. Meyn (CDC, 2024)

Dual Ensemble Kalman Filter for Stochastic Optimal Control. - Anant A. Joshi; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (CDC, 2024)

Markovian Foundations for Quasi-Stochastic Approximation in Two Timescales. - Caio Kalil Lauand; Sean P. Meyn (CDC, 2024)

Tri-Level Linear Programming Model for Automatic Load Shedding Using Spectral Clustering. - Mario D. Baquedano-Aguilar; Arturo S. Bretas; Sean P. Meyn; Nader Aljohani (ISGT, 2024)

Microgrid Frequency Stability: A Proactive Scheme Based on Dynamic Predictions. - Gian Paramo; Arturo S. Bretas; Sean P. Meyn (ISGT, 2024)

Design of Interacting Particle Systems for Fast and Efficient Reinforcement Learning. - Anant A. Joshi; Heng-Sheng Chang; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (CoRR, 2024)

Quickest Change Detection Using Mismatched CUSUM. - Austin Cooper; Sean P. Meyn (CoRR, 2024)

The Projected Bellman Equation in Reinforcement Learning. - Sean P. Meyn (IEEE Trans. Autom. Control., 2024)

Interacting Particle Systems for Fast Linear Quadratic RL. - Anant A. Joshi; Heng-Sheng Chang; Amirhossein Taghvaei; Prashant G. Mehta; Sean P. Meyn (L4DC, 2025)

Control Engineer Roles in the Next Power Market Transition. - Hala Ballouz; Joel Mathias; Sean P. Meyn; Robert Moye; Joseph Warrington (Annu. Rev. Control. Robotics Auton. Syst., 2025)

Markovian Foundations for Quasi-Stochastic Approximation. - Caio Kalil Lauand; Sean P. Meyn (SIAM J. Control. Optim., 2025)

Functional Role of Synchronization: A Mean-Field Control Perspective. - Prashant G. Mehta; Sean P. Meyn (J. Syst. Sci. Complex., 2025)