🔴 pokemon-ai

Pokémon battle simulator that uses reinforcement learning techniques to win against the opponent.

Running

1. git clone https://github.com/anthonykrivonos/pokemon-ai.git
2. cd pokemon-ai
3. Create your virtual environment.
   python3 -m venv venv
4. Activate it.
   source venv/bin/activate
5. pip install .
6. Run two player tests with make two-player or run the sample model with make sample-model.

Creating a New Model

1. Duplicate /src/ai/models/sample_model.py in the same directory and rename it to anything of your choosing.
2. Suppose you named it my_model.py. Add the following to /src/ai/models/__init__.py:

   from .my_model import *
   

3. Code your model. Make sure only one of attack, use_item, or switch_pokemon_at_idx is called at the end of the turn.
4. Create a test file that mimics /src/scripts/sample_model.py and add it to the Makefile. Ensure one or both of the players you are testing on has your model as its fourth argument. For example:

   my_player = Player("Jane Doe", my_party, my_bag, MyModel())
   

Resources

[1] Sutton et. al., Reinforcement Learning: An Introduction, http://incompleteideas.net/book/RLbook2020trimmed.pdf.