Code built for the testing and analysis of mixed optimization criteria in multi-objective multi-agent reinforcement learning

A deep neural network to find Nash equilibria of normal-form stage games

Normal-form game simulations and norms

CS 165a Final Project

AMPL code for computing a Proper Equilibrium of a 2 players, zero-sum game in normal form. Using implementation from Miltersen, P. B., & Sørensen, T. B. (2006). Computing proper equilibria of zero-sum games.