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
Gambit: The package for computation in game theory
This repository aims to solve and create new problems from different spheres of coding. A path to help students to get access to solutions and discuss their doubts.
A collection of classical algorithms and data-structures implementation in C++ for coding interview and competitive programming
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
This repository aims to solve and create new problems from different spheres of coding. A path to help students to get access to solutions and discuss their doubts.
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
[Development suspended] An efficient open-source postflop solver library written in Rust
Game Theory and Python, a workshop investigating repeated games using the prisoner's dilemma
[Development suspended] Advanced open-source Texas Hold'em GTO solver with optimized performance (web browser version)
A collection of Mathematics + CS + what have you related books collected over the years for school 🎓 and personal reading 📚.
The All ▲lgorithms documentation website.
Game Theory Cheat Sheet
Code and datasets for the Tsetlin Machine
[Development suspended] Advanced open-source Texas Hold'em GTO solver with optimized performance
All Lab experiments of 18CSC305J Artificial Intelligence.
A package for solving matching games
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