A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

A 2D JavaFX implementation of one of the most popular and old board games. The AI player's moves are calculated using the expectiminimax algorithm.

An analysis library for zero-sum games, written in Rust

Demonstration of the concept of convergence for the Fictitious Play algorithm, simulating a simple zero-sum game over multiple iterations.

Psychopy implementation of the article : "Neural computations underpinning the strategic management of influence in advice giving" by Uri Hertz & BB

Simulating the game theory behind Linaia-Agon by Iannis Xenakis

A minimax algorithm to solve a two-player connection board game

checkers solver using minimax+alpha-beta pruning

Desktop Reversi game made in Kotlin and Swing. The project focuses on implementing and exploring AI algorithms for zero-sum games, including MinMax, Alpha-Beta pruning, and various heuristics.

While working on my joint paper 'Davenport constant for finite abelian groups with higher rank' (arXiv:2402.09999 [math.NT]) with Dr. Eshita Mazumdar, I used these R programs to get an idea initially how our calculated bounds for the r-wise Davenport constant were behaving as we considered more complicated and bigger group structures.

Framework, boilerplate, and examples for zerosum algorithms like minimax.

Some applications of optimization using linear, binary, and integer programming.

Zero Sum Budgeting Software

A tic tac toe game with an AI that you just can't beat

my favorite projects