activity
20112026
most citedPredicting Hurricane Trajectories using a Recurrent Neural Network

20 citations · 43 across the 26 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.GT2020★ 1 cited

Computing Nash Equilibria in Multiplayer DAG-Structured Stochastic Games with Persistent Imperfect Information

Sam Ganzfried

Many important real-world settings contain multiple players interacting over an unknown duration with probabilistic state transitions, and are naturally modeled as stochastic games…

cs.GT2020★ 2 cited

Algorithm for Computing Approximate Nash Equilibrium in Continuous Games with Application to Continuous Blotto

Sam Ganzfried

Successful algorithms have been developed for computing Nash equilibrium in a variety of finite game classes. However, solving continuous games -- in which the pure strategy space…

stat.AP2020

Prediction of Bayesian Intervals for Tropical Storms

Max Chiswick, Sam Ganzfried

Building on recent research for prediction of hurricane trajectories using recurrent neural networks (RNNs), we have developed improved methods and generalized the approach to pred…

cs.GT2020★ 3 cited

Fast Complete Algorithm for Multiplayer Nash Equilibrium

Sam Ganzfried

We describe a new complete algorithm for computing Nash equilibrium in multiplayer general-sum games, based on a quadratically-constrained feasibility program formulation. We demon…

cs.GT2020★ 5 cited

Empirical Analysis of Fictitious Play for Nash Equilibrium Computation in Multiplayer Games

Sam Ganzfried

While fictitious play is guaranteed to converge to Nash equilibrium in certain game classes, such as two-player zero-sum games, it is not guaranteed to converge in non-zero-sum and…