37 lines
960 B
Python
37 lines
960 B
Python
import jax.numpy as jnp
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from pipeline import Pipeline
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from algorithm.neat import *
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from problem.rl_env import GymNaxEnv
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if __name__ == "__main__":
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pipeline = Pipeline(
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algorithm=NEAT(
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species=DefaultSpecies(
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genome=DefaultGenome(
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num_inputs=2,
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num_outputs=3,
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max_nodes=50,
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max_conns=100,
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output_transform=lambda out: jnp.argmax(
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out
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), # the action of mountain car is {0, 1, 2}
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),
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pop_size=10000,
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species_size=10,
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),
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),
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problem=GymNaxEnv(
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env_name="MountainCar-v0",
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),
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generation_limit=10000,
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fitness_target=-86,
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)
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# initialize state
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state = pipeline.setup()
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# print(state)
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# run until terminate
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state, best = pipeline.auto_run(state)
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