def run(gens, env):
"""
Create the population and run the XOR task by providing eval_fitness as the fitness function.
Returns the winning genome and the statistics of the run.
"""
winner, stats = run_neat(gens, env, 500, CONFIG)
print("neat_pole_balancing done")
return winner, stats
def run(gens, env):
"""
Run the pole balancing task using the Gym environment
Returns the winning genome and the statistics of the run.
"""
winner, stats = run_neat(gens, env, 200, CONFIG, max_trials=0)
print("neat_mountain_car done")
return winner, stats
def run(gens, env):
winner, stats = run_neat(gens, env, 200, config, max_trials=0)
print("neat_mountain_car done")
return winner, stats
def run(gens, env):
winner, stats = run_neat(gens, env, 500, config)
print("neat_pole_balancing done")
return winner, stats
