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Setup

1 - clone this repo into the folder containing your activated venv, and run at the project's root:

chmod 777 installs.sh
./installs.sh
pip install -e .

To test the install, run

python3 tests/env_test.py

This should open a controllable gameboy window, (through the commandline, c.f. deepred/polaris_env/action_space.py)

TODOs

  • rewards
  • full observation space
  • model
  • update metrics
  • early stopping if no rewards for a while
  • Check TODOs

Can add:

  • use of items outside of battle (could be automated)
  • use of TMs/HMs on pokemons.

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Solving Pokemon Red through Reinforcement Learning

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