Further Reading

[emgrasmeder]

Papers

• [x] On the Genetic Evolution of a Perfect Tic-Tac-Toe Strategy
• [ ] Small Populations Over Many Generations Can Beat Large Populations Over Few Generations in Genetic Programming
• [x] GP-EndChess: Using Genetic Programming to Evolve Chess Endgame Players
• [x] Ferret and Martin - Using genetic programming to evolve board evaluation functions
• [ ] A. Samuel - Some Studies in Machine Learning Using the Game of Checkers 1
• [ ] A. Samuel - Some Studies in Machine Learning Using the Game of Checkers 2
• [ ] Angeline and Pollack - Competitive Environments Evolve Better Solutions for Complex Tasks
• [ ] Mohammadi et al - Evolving Tic-Tac-Toe Playing Algorithms Using Co-Evolution, Interactive Fitness and Genetic Programming

[emgrasmeder]

Something I don't understand yet in the Ferret and Martin piece:

[emgrasmeder]

• https://link.springer.com/article/10.1007/s10710-005-2990-0
• https://pdfs.semanticscholar.org/da80/3152928a3b98ef21a81a6675e7b51852510e.pdf
• http://www.personal.psu.edu/users/y/v/yvw5013/stuff/Implementation-of-a-tic-tac-toe-player-using-genetic-algorithm.pdf
• https://www.scribd.com/document/122980973/Genetic-Evolution-of-TIC-TAC-ToE

[emgrasmeder]

Only related to GP: http://www.prasa.org/proceedings/2014/prasa2014-31.pdf