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In this article, I formalize Pokémon teambuilding as an optimization problem and introduce two models: • a no-interaction baseline • an interaction model that incorporates synergy and counterplay Both highlight strong, versatile attackers (Alakazam, Zapdos, Starmie). This makes sense given that...

Version 0.4.5 adds support for gen 4, 5 and 6 :)

Yes, please open an issue if you found something buggy :) Especially if it's in doubles, as it's super recent.

Hey silverfro, Nice, I'd be curious to see your results! Having some basic support for damage calcs is on the roadmap. It probably won't be a full-fledged solution, but a heuristic able to get 99% of the work done efficiently. Regarding tree-exploration: this is something I'm considering, but...

Hey c++, I'd recommend taking a look at pmariglia's project, which looks similar to what you want to do, or at poke-env, a library I'm maintaining which could be used easily.

Version 0.4.0 is out, with preliminary doubles support! Give it a try with pip install poke-env and head to our examples to get started :)

Version 0.3.4 is out! You can update via pip. This release introduces the evaluate_player function, two baseline players (MaxBaseDamagePlayer and SimpleHeuristicsPlayer) and several helper methods (notably Player.damage_multiplier and Player.battle_against). The main goal of the release is to...

Astamatitos thanks for your enthusiasm! Right now, most gen 7 and gen 8 formats are actively supported. I am not 100% sure what would happen if you tried to play gen 3 formats - it might work, but it's unsure. If you want to get started on an RL approach, I recommend taking a look at this...

Creating a bot to battle on showdown is a pain. You have to implement showdown's websocket protocol, parse messages and keep track of the state of everything that is happening. With poke-env, all of the complicated stuff is taken care of. Creating a battling bot can be as simple as that: class...