Inspiration
Our team was inspired by the wildfires in California. According to the World Economic Forum, these wildfires cost more than $400 million in the 2010s.
What it does
Our project is a game that allows users to simulate how a UAV would go about combatting wildfires.
How we built it
We used pygame.
Challenges we ran into
Originally, we wanted to create an RL agent that could learn the optimal way to combat wildfires, but we just didn't have enough time.
Accomplishments that we're proud of
The pseudorandom simulation of spreading fire.
What we learned
We learned a lot about how RL works.
What's next for Firefighter
We would still like to implement an AI agent that could learn how to play the game optimally.
(To run the program, cd working/assets then python3 Gameloop.py
Log in or sign up for Devpost to join the conversation.