activity
20182020
collaborators

7 papers

cs.GT2020

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…

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.GT2019

Mistakes in Games

Sam Ganzfried

We define a new concept of "mistake" strategies and actions for strategic-form and extensive-form games, analyze the relationship to prior main game-theoretic solution concepts, st…

cs.GT2019

Parallel Algorithm for Approximating Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning

Sam Ganzfried, Conner Laughlin, Charles Morefield

Many real-world domains contain multiple agents behaving strategically with probabilistic transitions and uncertain (potentially infinite) duration. Such settings can be modeled as…

cs.GT2018

Successful Nash Equilibrium Agent for a 3-Player Imperfect-Information Game

Sam Ganzfried, Austin Nowak, Joannier Pinales

Creating strong agents for games with more than two players is a major open problem in AI. Common approaches are based on approximating game-theoretic solution concepts such as Nas…

cs.GT2018

Optimization-Based Algorithm for Evolutionarily Stable Strategies against Pure Mutations

Sam Ganzfried

Evolutionarily stable strategy (ESS) is an important solution concept in game theory which has been applied frequently to biological models. Informally an ESS is a strategy that if…