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

Code and datasets for the Tsetlin Machine

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

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

Gambit: The package for computation in game theory

Game Theory Cheat Sheet

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

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.

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

[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

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

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

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

The All ▲lgorithms documentation website.