Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

🚀 A very efficient Texas Holdem GTO solver ♠️♥️♣️♦️

An awesome curated list of Cryptoeconomic research and learning materials

A research tool for the Iterated Prisoner's Dilemma

A collection of Mathematics + CS + what have you related books collected over the years for school 🎓 and personal reading 📚.

Shapley Interactions and Shapley Values for Machine Learning

Code and datasets for the Tsetlin Machine

[Development suspended] Advanced open-source Texas Hold'em GTO solver with optimized performance (web browser version)

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

Gambit: The package for computation in game theory

Game Theory Cheat Sheet

An open-source Python library for poker game simulations, hand evaluations, and statistical analysis

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Collection of articles, books, videos and other things I found useful for those interested in the topic.

[Development suspended] An efficient open-source postflop solver library written in Rust

[Development suspended] Advanced open-source Texas Hold'em GTO solver with optimized performance

Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

A collection of classical algorithms and data-structures implementation in C++ for coding interview and competitive programming

Game Theory and Python, a workshop investigating repeated games using the prisoner's dilemma