activity
20132024
most citedOn Gradient-Based Learning in Continuous Games

78 citations · 333 across the 57 of their papers we have counts for

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Showing 2014Show all

5 papers · 1 filter

math.OC2014

On the Characterization of Local Nash Equilibria in Continuous Games

Lillian J. Ratliff, Samuel A. Burden, S. Shankar Sastry

We present a unified framework for characterizing local Nash equilibria in continuous games on either infinite-dimensional or finite-dimensional non-convex strategy spaces. We prov…

math.OC2014★ 6 cited

Effects of Risk on Privacy Contracts for Demand-Side Management

Lillian J. Ratliff, Carlos Barreto, Roy Dong +3

As smart meters continue to be deployed around the world collecting unprecedented levels of fine-grained data about consumers, we need to find mechanisms that are fair to both, (1)…

math.OC2014★ 10 cited

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

Ioannis C. Konstantakopoulos, Lillian J. Ratliff, Ming Jin +2

We describe a social game that we designed for encouraging energy efficient behavior amongst building occupants with the aim of reducing overall energy consumption in the building.…

cs.CR2014★ 7 cited

Quantifying the Utility-Privacy Tradeoff in the Smart Grid

Roy Dong, Alvaro A. Cárdenas, Lillian J. Ratliff +2

The modernization of the electrical grid and the installation of smart meters come with many advantages to control and monitoring. However, in the wrong hands, the data might pose…

math.OC2014★ 2 cited

Privacy and Customer Segmentation in the Smart Grid

Lillian J. Ratliff, Roy Dong, Henrik Ohlsson +2

In the electricity grid, networked sensors which record and transmit increasingly high-granularity data are being deployed. In such a setting, privacy concerns are a natural consid…