Lillian J. Ratliff

Roy Dong

CoRR, 2024

2023

Multiplayer Performative Prediction: Learning in Decision-Dependent Games.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Consistent Conjectural Variations Equilibria: Characterization and Stability for a Class of Continuous Games.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

Initializing Services in Interactive ML Systems for Diverse Users.

[BibT_eX]

[DOI]

CoRR, 2023

Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits.

[BibT_eX]

[DOI]

CoRR, 2023

Query-Efficient Algorithms to Find the Unique Nash Equilibrium in a Two-Player Zero-Sum Matrix Game.

[BibT_eX]

[DOI]

CoRR, 2023

Coupled Gradient Flows for Strategic Non-Local Distribution Shift.

[BibT_eX]

[DOI]

CoRR, 2023

Logarithmic Regret for Matrix Games against an Adversary with Noisy Bandit Feedback.

[BibT_eX]

[DOI]

Arnab Maiti

Kevin G. Jamieson

CoRR, 2023

Consistent Conjectural Variations Equilibrium: Characterization & Stability for a Class of Continuous Games.

[BibT_eX]

[DOI]

CoRR, 2023

Human adaptation to adaptive machines converges to game-theoretic equilibria.

[BibT_eX]

[DOI]

Benjamin J. Chasnov

Samuel A. Burden

CoRR, 2023

Convergent First-Order Methods for Bi-level Optimization and Stackelberg Games.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive constraint satisfaction for Markov decision process congestion games: Application to transportation networks.

[BibT_eX]

[DOI]

Autom., 2023

Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games.

[BibT_eX]

[DOI]

Arnab Maiti

Kevin G. Jamieson

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Approximate Regions of Attraction in Learning with Decision-Dependent Distributions.

[BibT_eX]

[DOI]

Roy Dong

Heling Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Koopman Operator Applications in Signalized Traffic Systems.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Interactive Combinatorial Bandits: Balancing Competitivity and Complementarity.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-learner risk reduction under endogenous participation dynamics.

[BibT_eX]

[DOI]

CoRR, 2022

General sum stochastic games with networked information flows.

[BibT_eX]

[DOI]

Sarah H. Q. Li

Peeyush Kumar

CoRR, 2022

Variable demand and multi-commodity flow in Markovian network equilibrium.

[BibT_eX]

[DOI]

Autom., 2022

Fast Convergence of Optimistic Gradient Ascent in Network Zero-Sum Extensive Form Games.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Game Theory - 15th International Symposium, 2022

Instance-optimal PAC Algorithms for Contextual Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Minimax Optimization with Smooth Algorithmic Adversaries.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Improved Rates for Derivative Free Gradient Play in Strongly Monotone Games<sup>∗</sup>.

[BibT_eX]

[DOI]

Dmitriy Drusvyatskiy

Maryam Fazel

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Learning in Stochastic Monotone Games with Decision-Dependent Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Adaptive Incentive Design.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

Disturbance Decoupling for Gradient-Based Multi-Agent Learning With Quadratic Costs.

[BibT_eX]

[DOI]

Sarah H. Q. Li

Behçet Açikmese

IEEE Control. Syst. Lett., 2021

Improved rates for derivative free play in convex games.

[BibT_eX]

[DOI]

Dmitriy Drusvyatskiy

CoRR, 2021

Which Echo Chamber? Regions of Attraction in Learning with Decision-Dependent Distributions.

[BibT_eX]

[DOI]

Roy Dong

CoRR, 2021

Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization.

[BibT_eX]

[DOI]

CoRR, 2021

Online Learning in Periodic Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Gaussian Mixture Models for Parking Demand Data.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2020

Modeling Curbside Parking as a Network of Finite Capacity Queues.

[BibT_eX]

[DOI]

Chase P. Dowling

Baosen Zhang

IEEE Trans. Intell. Transp. Syst., 2020

Competitive Statistical Estimation With Strategic Data Sources.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Uncertainty in Multicommodity Routing Networks: When Does It Help?

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Inverse Risk-Sensitive Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

On Gradient-Based Learning in Continuous Games.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2020

Function Design for Improved Competitive Ratio in Online Resource Allocation with Procurement Costs.

[BibT_eX]

[DOI]

CoRR, 2020

Stability of Gradient Learning Dynamics in Continuous Games: Vector Action Spaces.

[BibT_eX]

[DOI]

CoRR, 2020

Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation.

[BibT_eX]

[DOI]

CoRR, 2020

A SUPER<sup>*</sup> Algorithm to Optimize Paper Bidding in Peer Review.

[BibT_eX]

[DOI]

Nihar B. Shah

CoRR, 2020

A SUPER* Algorithm to Optimize Paper Bidding in Peer Review.

[BibT_eX]

[DOI]

Nihar B. Shah

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Constrained Upper Confidence Reinforcement Learning.

[BibT_eX]

[DOI]

Liyuan Zheng

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study.

[BibT_eX]

[DOI]

Benjamin Chasnov

Proceedings of the 37th International Conference on Machine Learning, 2020

Stability of Gradient Learning Dynamics in Continuous Games: Scalar Action Spaces.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Policy-Gradient Algorithms Have No Guarantees of Convergence in Linear Quadratic Games.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Global Convergence of Policy Gradient for Sequential Zero-Sum Linear Quadratic Dynamic Games.

[BibT_eX]

[DOI]

Jingjing Bu

Mehran Mesbahi

CoRR, 2019

Online Constraint Satisfaction via Tolls in MDP Congestion Games.

[BibT_eX]

[DOI]

CoRR, 2019

Policy-Gradient Algorithms Have No Guarantees of Convergence in Continuous Action and State Multi-Agent Settings.

[BibT_eX]

[DOI]

CoRR, 2019

Convergence of Learning Dynamics in Stackelberg Games.

[BibT_eX]

[DOI]

Benjamin Chasnov

CoRR, 2019

Convergence Analysis of Gradient-Based Learning with Non-Uniform Learning Rates in Non-Cooperative Multi-Agent Settings.

[BibT_eX]

[DOI]

CoRR, 2019

A Perspective on Incentive Design: Challenges and Opportunities.

[BibT_eX]

[DOI]

Annu. Rev. Control. Robotics Auton. Syst., 2019

Convergence Analysis of Gradient-Based Learning in Continuous Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Mobilytics-Gym: A Simulation Framework for Analyzing Urban Mobility Decision Strategies.

[BibT_eX]

[DOI]

Chinmaya Samal

Abhishek Dubey

Proceedings of the IEEE International Conference on Smart Computing, 2019

Sequential Experimental Design for Transductive Linear Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Distributed Learning in Network Games: a Dual Averaging Approach.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Incentive Design for Temporal Logic Objectives.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Local Nash Equilibria are Isolated, Strict Local Nash Equilibria in 'Almost All' Zero-Sum Continuous Games.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Sensitivity Analysis for Markov Decision Process Congestion Games.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Multi-Dimensional Continuous Type Population Potential Games.

[BibT_eX]

[DOI]

Daniel J. Calderone

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Tolling for Constraint Satisfaction in Markov Decision Process Congestion Games.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

2018

A Robust Utility Learning Framework via Inverse Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2018

Quantifying the Utility-Privacy Tradeoff in the Internet of Things.

[BibT_eX]

[DOI]

ACM Trans. Cyber Phys. Syst., 2018

On the Convergence of Competitive, Multi-Agent Gradient-Based Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Incentives in the Dark: Multi-armed Bandits for Evolving Users with Unknown Type.

[BibT_eX]

[DOI]

CoRR, 2018

Towards a Socially Optimal Multi-Modal Routing Platform.

[BibT_eX]

[DOI]

CoRR, 2018

Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Mobilytics- An Extensible, Modular and Resilient Mobility Platform.

[BibT_eX]

[DOI]

Chinmaya Samal

Abhishek Dubey

Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018

Koopman Operator Approach for Instability Detection and Mitigation in Signalized Traffic.

[BibT_eX]

[DOI]

Esther Ling

Samuel Coogan

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Uncertainty in Multi-Commodity Routing Networks: When does it help?

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

Data Driven Spatio-Temporal Modeling of Parking Demand.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Risk-Sensitive Inverse Reinforcement Learning via Gradient Methods.

[BibT_eX]

[DOI]

CoRR, 2017

How Much Urban Traffic is Searching for Parking?

[BibT_eX]

[DOI]

CoRR, 2017

Statistical estimation with strategic data sources in competitive settings.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Learning prospect theory value function and reference point of a sequential decision maker.

[BibT_eX]

[DOI]

Kamil Nar

Shankar Sastry

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Gradient-based inverse risk-sensitive reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Optimizing curbside parking resources subject to congestion constraints.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Leveraging correlations in utility learning.

[BibT_eX]

[DOI]

Ming Jin

Costas J. Spanos

Proceedings of the 2017 American Control Conference, 2017

2016

On the Characterization of Local Nash Equilibria in Continuous Games.

[BibT_eX]

[DOI]

Samuel A. Burden

IEEE Trans. Autom. Control., 2016

To observe or not to observe: Queuing game framework for urban parking.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Inverse modeling of non-cooperative agents via mixture of utilities.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Understanding the impact of parking on urban mobility via routing games on queue-flow networks.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

REST: a reliable estimation of stopping time algorithm for social game experiments.

[BibT_eX]

[DOI]

Ming Jin

Costas J. Spanos

Shankar Sastry

Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, 2015

Nuclear norm minimization for blind subspace identification (N2BSID).

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Lane pricing via decision-theoretic lane changing model of driver behavior.

[BibT_eX]

[DOI]

Daniel J. Calderone

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Analysis of the Godunov-Based Hybrid Model for Ramp Metering and Robust Feedback Control Design.

[BibT_eX]

[DOI]

Pushkin Kachroo

Shankar Sastry

IEEE Trans. Intell. Transp. Syst., 2014

Effects of Risk on Privacy Contracts for Demand-Side Management.

[BibT_eX]

[DOI]

CoRR, 2014

Social Game for Building Energy Efficiency: Utility Learning, Simulation, and Analysis.

[BibT_eX]

[DOI]

CoRR, 2014

Quantifying the Utility-Privacy Tradeoff in the Smart Grid.

[BibT_eX]

[DOI]

CoRR, 2014

Energy efficiency via incentive design and utility learning.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on High Confidence Networked Systems (part of CPS Week), 2014

Fundamental limits of nonintrusive load monitoring.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on High Confidence Networked Systems (part of CPS Week), 2014

Privacy and customer segmentation in the smart grid.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Genericity and structural stability of non-degenerate differential Nash equilibria.

[BibT_eX]

[DOI]

Samuel A. Burden

Proceedings of the American Control Conference, 2014

Social game for building energy efficiency: Incentive design.

[BibT_eX]

[DOI]

Ming Jin

Costas J. Spanos

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

Blind Identification of ARX Models with Piecewise Constant Inputs

[BibT_eX]

[DOI]

CoRR, 2013

Behavior Modification and Utility Learning via Energy Disaggregation.

[BibT_eX]

[DOI]

CoRR, 2013

Blind Identification via Lifting.

[BibT_eX]

[DOI]

CoRR, 2013

An inverse correlated equilibrium framework for utility learning in multiplayer, noncooperative settings.

[BibT_eX]

[DOI]

Proceedings of the 2nd ACM International Conference on High Confidence Networked Systems (part of CPS Week), 2013

A dynamical systems approach to energy disaggregation.

[BibT_eX]

[DOI]

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Pricing design for robustness in linear quadratic games.

[BibT_eX]

[DOI]

Daniel J. Calderone

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Energy management via pricing in LQ dynamic games.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2013

Characterization and computation of local Nash equilibria in continuous games.

[BibT_eX]

[DOI]

Samuel Burden