Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
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Updated
Feb 18, 2023
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
An awesome curated list of Cryptoeconomic research and learning materials
🚀 A very efficient Texas Holdem GTO solver
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
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] Advanced open-source Texas Hold'em GTO solver with optimized performance
[Development suspended] An efficient open-source postflop solver library written in Rust
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
A collection of Mathematics + CS + what have you related books collected over the years for school 🎓 and personal reading 📚.
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.
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