generated from mwc/lab_retro
9a4ef2eb8d
it felt more foreign, if that makes sense. The code used in this program was not my work hence, I did not feel as though I completely understood how each agent was doing what it was doing. I guess I can see the value of agents because they really do cut things short and functional. But I much prefer the labs and programs that had more original input for the learning experience! At this stage I don't know if I am comfortable or confident going into the game project but I will try to think more about the agents to understand better.
13 lines
387 B
Python
13 lines
387 B
Python
# nav_game.py
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# ------------
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# By MWC Contributors
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# This class implements a simple game where a spaceship avoids asteroids.
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from retro.game import Game
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from spaceship import Spaceship
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from asteroid_spawner import AsteroidSpawner
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board_size = (25, 25)
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ship = Spaceship(board_size)
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spawner = AsteroidSpawner()
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game = Game([ship, spawner], {"score": 0}, board_size=board_size)
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game.play() |