Suggestion: Config #1
Description
I was never able to get past fitness 60-80 with the config file in the repo. I grabbed the one from the neat-python repo for openai lander and was able to hit a fitness of 300 max score for regular level on generation 309.
NEAT configuration for the bit-sequence memory experiment.
The NEAT section specifies parameters particular to the NEAT algorithm
or the experiment itself. This is the only required section.
[NEAT]
fitness_criterion = max
fitness_threshold = 300
pop_size = 250
reset_on_extinction = 0
[DefaultGenome]
num_inputs = 24
num_hidden = 0
num_outputs = 4
initial_connection = partial 0.5
feed_forward = True
compatibility_disjoint_coefficient = 1.0
compatibility_weight_coefficient = 1.0
conn_add_prob = 0.15
conn_delete_prob = 0.1
node_add_prob = 0.15
node_delete_prob = 0.1
activation_default = clamped
activation_options = clamped
activation_mutate_rate = 0.0
aggregation_default = sum
aggregation_options = sum
aggregation_mutate_rate = 0.0
bias_init_mean = 0.0
bias_init_stdev = 1.0
bias_replace_rate = 0.02
bias_mutate_rate = 0.8
bias_mutate_power = 0.4
bias_max_value = 30.0
bias_min_value = -30.0
response_init_mean = 1.0
response_init_stdev = 0.0
response_replace_rate = 0.0
response_mutate_rate = 0.1
response_mutate_power = 0.01
response_max_value = 30.0
response_min_value = -30.0
weight_max_value = 30
weight_min_value = -30
weight_init_mean = 0.0
weight_init_stdev = 1.0
weight_mutate_rate = 0.8
weight_replace_rate = 0.02
weight_mutate_power = 0.4
enabled_default = True
enabled_mutate_rate = 0.01
[DefaultSpeciesSet]
compatibility_threshold = 3.0
[DefaultStagnation]
species_fitness_func = max
max_stagnation = 15
species_elitism = 4
[DefaultReproduction]
elitism = 2
survival_threshold = 0.2