# Game Theory (study of field), Pokemon, AI, Game Design links

Jun 6th, 2019 (edited)
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1. == Game Theory Resources ==
2. Introductory online video course on Game Theory
4.
5. Theoretical analysis of Game Theory with solutions and approximations to finding nash equilibria, as well as discussion on Recursive and Stochastic games
6. https://www.math.ucla.edu/~tom/Game_Theory/mat.pdf
7. Recursive Game: Game which certain combinations of pure strategies involve playing another Game
8. Stochastic Game: Game which certain combinations of pure strategies involve playing any one of multiple Games (or direct payoffs) with the played Game determined by chance
9.
10. == Game Theory and Pokémon ==
11. Some misc smogon threads relating to theoretical Pokémon
15.
16. Blog posts on the math behind Competitive Pokémon:
17. https://niklasriewald.com/2018/06/23/the-math-behind-competitive-pokemon-part-1-bellman-equations/
18. https://niklasriewald.com/2018/06/24/the-math-behind-competitive-pokemon-part-2-value-function-approximation/
19. https://niklasriewald.com/2018/06/24/the-math-behind-competitive-pokemon-part-3-nash-equilibria/
20. https://niklasriewald.com/2018/12/20/the-math-behind-competitive-pokemon-part-4-bayes-theorem/
21.
22. Bulbagarden blogs on applying Game Theory to Pokémon
23. https://bulbanews.bulbagarden.net/wiki/Crunching_the_numbers:_Game_theory
24. https://bulbanews.bulbagarden.net/wiki/Crunching_the_numbers:_Mixed_strategies
25.
26. Response to the first Bulbagarden blog (..._Game_theory)
27. http://blogs.cornell.edu/info2040/2016/09/07/pokemon-game-theory/
28.
29. == AI Resources (note: looking for these was done pretty lazily and I didn't really look at these too much, YMMV) ==
30. Pokemon Showdown Minimax AI:
31. https://github.com/rameshvarun/showdownbot
32.
33. Technical Machine: A Pokemon bot:
35. http://doublewise.net/pokemon/
36. https://bitbucket.org/davidstone/technical-machine/src/default/
37.
38. Pokemon Showdown AI Bot
40. https://github.com/vasumv/pokemon_ai
41.
42. Paper: Optimal Battle Strategy in Pokemon using Reinforcement Learning
43. https://web.stanford.edu/class/aa228/reports/2018/final151.pdf
44.
45. Not sure what this is:
46. https://github.com/pokeml/pokemon-agents/ - "A collection Pokémon battle agents"
47. https://github.com/pokeml/pokemon-env - "A NodeJS environment for developing Pokémon battle agents"
48.
49. Is it possible to develop an AI that can play competitive pokemon well?:
51.
52. Pokemon Showdown - AI/Bot Client Platform
53. https://github.com/dramamine/leftovers-again
54.
55. The Game Theory of Pokemon: AI implementing Nash Equilibrium (holy fuck I need the rest of this paper)
56. https://smashboards.com/attachments/game-theory-latex-pdf.90707/
57.
58. Gotta Code'em all! Machine Learning in Pokemon.
60.
61. == Articles/posts/blogs related to the game design aspect of Pokémon ==
62. Pokemon's single-player battles are aging poorly
63. https://www.destructoid.com/pokemon-s-single-player-battles-are-aging-poorly-531898.phtml
64.
65. Overstuffed: Back to the daily grind
66. https://www.destructoid.com/overstuffed-back-to-the-daily-grind-473237.phtml
67.
68. Articles by Sirlin on Yomi (game)
69. http://www.sirlin.net/articles/designing-yomi
70. http://www.sirlin.net/articles/game-balance-and-yomi
71.
72. Pokémon, I love you but you're a terrible game. (Has good points against "output random apologists")
74.
75. A response to a reddit post titled "An idea I have to fix the RNG of Pokemon stats without sacrificing the rewarding feeling of hard work"
77.
78. RANDOMNESS AND GAME DESIGN
79. http://keithburgun.net/randomness-and-game-design/
80.
81. Richard Garfield - "Luck in Games" talk at ITU Copenhagen