# Project Mahoraga

This is a controlled reinforcement learning environment designed to demonstrate adaptive intelligence via a resistance trade-off system. 

## Project Structure

- `env/`: Contains the core logic for the environment, state handling, enemy behavior, and mechanics.
- `utils/`: Contains constants and validators for actions.
- `tests/`: Contains manual basic sanity tests to verify correct environment behavior.
- `main.py`: Entry point to run a single manual episode with random actions.