44 citations · 146 across the 12 of their papers we have counts for
13 papers
A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry
Larry Schester, Luis E. Ortiz
Vehicles today can drive themselves on highways and driverless robotaxis operate in major cities, with more sophisticated levels of autonomous driving expected to be available and…
A Machine Learning Approach to Detect Strategic Behavior from Large-Population Observational Data Applied to Game Mode Prediction on a Team-Based Video Game
Boshen Wang, Luis E. Ortiz
Modeling the strategic behavior of agents in a real-world multi-agent system using existing state-of-the-art computational game-theoretic tools can be a daunting task, especially w…
Correlated Equilibria for Approximate Variational Inference in MRFs
Luis E. Ortiz, Boshen Wang, Ze Gong
Almost all of the work in graphical models for game theory has mirrored previous work in probabilistic graphical models. Our work considers the opposite direction: Taking advantage…
FPTAS for Mixed-Strategy Nash Equilibria in Tree Graphical Games and Their Generalizations
Luis E. Ortiz, Mohammad T. Irfan
We provide the first fully polynomial time approximation scheme (FPTAS) for computing an approximate mixed-strategy Nash equilibrium in tree-structured graphical multi-hypermatrix…
Some Open Problems in Optimal AdaBoost and Decision Stumps
Joshua Belanich, Luis E. Ortiz
The significance of the study of the theoretical and practical properties of AdaBoost is unquestionable, given its simplicity, wide practical use, and effectiveness on real-world d…
Graphical Potential Games
Luis E. Ortiz
Potential games, originally introduced in the early 1990's by Lloyd Shapley, the 2012 Nobel Laureate in Economics, and his colleague Dov Monderer, are a very important class of mod…