Lillian J. Ratliff

According to our database1, Lillian J. Ratliff authored at least 92 papers between 2012 and 2022.

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Bibliography

2022
Koopman Operator Applications in Signalized Traffic Systems.
IEEE Trans. Intell. Transp. Syst., 2022

Multi-learner risk reduction under endogenous participation dynamics.
CoRR, 2022

General sum stochastic games with networked information flows.
CoRR, 2022

Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments.
CoRR, 2022

Multiplayer Performative Prediction: Learning in Decision-Dependent Games.
CoRR, 2022

Variable demand and multi-commodity flow in Markovian network equilibrium.
Autom., 2022

Learning in Stochastic Monotone Games with Decision-Dependent Data.
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.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Adaptive Incentive Design.
IEEE Trans. Autom. Control., 2021

Disturbance Decoupling for Gradient-Based Multi-Agent Learning With Quadratic Costs.
IEEE Control. Syst. Lett., 2021

Improved rates for derivative free play in convex games.
CoRR, 2021

Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms.
CoRR, 2021

Which Echo Chamber? Regions of Attraction in Learning with Decision-Dependent Distributions.
CoRR, 2021

Zeroth-Order Methods for Convex-Concave Minmax Problems: Applications to Decision-Dependent Risk Minimization.
CoRR, 2021

Minimax Optimization with Smooth Algorithmic Adversaries.
CoRR, 2021

Online Learning in Periodic Zero-Sum Games.
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.
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.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation.
Proceedings of the 9th International Conference on Learning Representations, 2021

Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Gaussian Mixture Models for Parking Demand Data.
IEEE Trans. Intell. Transp. Syst., 2020

Modeling Curbside Parking as a Network of Finite Capacity Queues.
IEEE Trans. Intell. Transp. Syst., 2020

Competitive Statistical Estimation With Strategic Data Sources.
IEEE Trans. Autom. Control., 2020

Uncertainty in Multicommodity Routing Networks: When Does It Help?
IEEE Trans. Autom. Control., 2020

Inverse Risk-Sensitive Reinforcement Learning.
IEEE Trans. Autom. Control., 2020

On Gradient-Based Learning in Continuous Games.
SIAM J. Math. Data Sci., 2020

Function Design for Improved Competitive Ratio in Online Resource Allocation with Procurement Costs.
CoRR, 2020

Stability of Gradient Learning Dynamics in Continuous Games: Vector Action Spaces.
CoRR, 2020

Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation.
CoRR, 2020

A SUPER<sup>*</sup> Algorithm to Optimize Paper Bidding in Peer Review.
CoRR, 2020

A SUPER* Algorithm to Optimize Paper Bidding in Peer Review.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Constrained Upper Confidence Reinforcement Learning.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020

Stability of Gradient Learning Dynamics in Continuous Games: Scalar Action Spaces.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Policy-Gradient Algorithms Have No Guarantees of Convergence in Linear Quadratic Games.
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.
CoRR, 2019

Online Constraint Satisfaction via Tolls in MDP Congestion Games.
CoRR, 2019

Policy-Gradient Algorithms Have No Guarantees of Convergence in Continuous Action and State Multi-Agent Settings.
CoRR, 2019

Convergence of Learning Dynamics in Stackelberg Games.
CoRR, 2019

Convergence Analysis of Gradient-Based Learning with Non-Uniform Learning Rates in Non-Cooperative Multi-Agent Settings.
CoRR, 2019

Convergence Analysis of Gradient-Based Learning in Continuous Games.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Mobilytics-Gym: A Simulation Framework for Analyzing Urban Mobility Decision Strategies.
Proceedings of the IEEE International Conference on Smart Computing, 2019

Sequential Experimental Design for Transductive Linear Bandits.
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.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Incentive Design for Temporal Logic Objectives.
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.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Sensitivity Analysis for Markov Decision Process Congestion Games.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Multi-Dimensional Continuous Type Population Potential Games.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Tolling for Constraint Satisfaction in Markov Decision Process Congestion Games.
Proceedings of the 2019 American Control Conference, 2019

2018
A Robust Utility Learning Framework via Inverse Optimization.
IEEE Trans. Control. Syst. Technol., 2018

Quantifying the Utility-Privacy Tradeoff in the Internet of Things.
ACM Trans. Cyber Phys. Syst., 2018

On the Convergence of Competitive, Multi-Agent Gradient-Based Learning.
CoRR, 2018

Incentives in the Dark: Multi-armed Bandits for Evolving Users with Unknown Type.
CoRR, 2018

Towards a Socially Optimal Multi-Modal Routing Platform.
CoRR, 2018

Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Mobilytics- An Extensible, Modular and Resilient Mobility Platform.
Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018

Koopman Operator Approach for Instability Detection and Mitigation in Signalized Traffic.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Uncertainty in Multi-Commodity Routing Networks: When does it help?
Proceedings of the 2018 Annual American Control Conference, 2018

Data Driven Spatio-Temporal Modeling of Parking Demand.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Risk-Sensitive Inverse Reinforcement Learning via Gradient Methods.
CoRR, 2017

How Much Urban Traffic is Searching for Parking?
CoRR, 2017

Statistical estimation with strategic data sources in competitive settings.
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.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Gradient-based inverse risk-sensitive reinforcement learning.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Optimizing curbside parking resources subject to congestion constraints.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Leveraging correlations in utility learning.
Proceedings of the 2017 American Control Conference, 2017

2016
On the Characterization of Local Nash Equilibria in Continuous Games.
IEEE Trans. Autom. Control., 2016

To observe or not to observe: Queuing game framework for urban parking.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Inverse modeling of non-cooperative agents via mixture of utilities.
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.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
REST: a reliable estimation of stopping time algorithm for social game experiments.
Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, 2015

Nuclear norm minimization for blind subspace identification (N2BSID).
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Lane pricing via decision-theoretic lane changing model of driver behavior.
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.
IEEE Trans. Intell. Transp. Syst., 2014

Effects of Risk on Privacy Contracts for Demand-Side Management.
CoRR, 2014

Social Game for Building Energy Efficiency: Utility Learning, Simulation, and Analysis.
CoRR, 2014

Quantifying the Utility-Privacy Tradeoff in the Smart Grid.
CoRR, 2014

Energy efficiency via incentive design and utility learning.
Proceedings of the 3rd International Conference on High Confidence Networked Systems (part of CPS Week), 2014

Fundamental limits of nonintrusive load monitoring.
Proceedings of the 3rd International Conference on High Confidence Networked Systems (part of CPS Week), 2014

Privacy and customer segmentation in the smart grid.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Genericity and structural stability of non-degenerate differential Nash equilibria.
Proceedings of the American Control Conference, 2014

Social game for building energy efficiency: Incentive design.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
Blind Identification of ARX Models with Piecewise Constant Inputs
CoRR, 2013

Behavior Modification and Utility Learning via Energy Disaggregation.
CoRR, 2013

Blind Identification via Lifting.
CoRR, 2013

An inverse correlated equilibrium framework for utility learning in multiplayer, noncooperative settings.
Proceedings of the 2nd ACM International Conference on High Confidence Networked Systems (part of CPS Week), 2013

A dynamical systems approach to energy disaggregation.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Pricing design for robustness in linear quadratic games.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Energy management via pricing in LQ dynamic games.
Proceedings of the American Control Conference, 2013

Characterization and computation of local Nash equilibria in continuous games.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

Energy disaggregation via adaptive filtering.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Pricing in linear-quadratic dynamic games.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012


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