- https://stanford-cs221.github.io/autumn2019/2018/project-list.html
- https://github.com/stanford-cs221/sample-projects
- https://cs230.stanford.edu/past-projects/#winter-2018
- Reinforcement Learning: State-of-the-Art
- Reinforcement Learning: An Introduction
- Artificial Intelligence: A Modern Approach
- Introduction to Evolutionary Computing
- Evolutionary Computation: A Unified Approach
- Genetic Algorithm Essentials (Oliver Kramer)
- Genetic algorithm in Search, Optimisation and Machine Learning
- An Introduction to Genetic Algorithms: Mitchell Melanie
- https://towardsdatascience.com/evolutionary-approaches-towards-ai-past-present-and-future-b23ccb424e98
- https://blog.otoro.net/2017/10/29/visual-evolution-strategies/
- https://www.researchgate.net/post/What-is-the-best-introductory-book-to-start-studying-evolutionary-computation
- Field Guide to GA
- http://multigrad.blogspot.com/2014/06/fun-with-python-bytecode.html
- https://stackoverflow.com/questions/5626778/a-genetic-algorithm-for-tic-tac-toe
- Genetic Algorithms for Evolving Computer Chess Programs
- https://www.chessprogramming.org/Getting_Started
- Evaluation function
- CMA-ES
- Bitboards
- https://api.csswg.org/bikeshed/?force=1&url=https://raw.githubusercontent.com/vector-of-bool/pitchfork/develop/data/spec.bs
- https://lefticus.gitbooks.io/cpp-best-practices/content/02-Use_the_Tools_Available.html
- https://github.com/cpp-best-practices/cpp_starter_project
- https://github.com/friendlyanon/cmake-init