config

# neat-python configuration for the LunarLander-v2 environment on OpenAI Gym
# Sample run here: https://gym.openai.com/evaluations/eval_FbKq5MxAS9GlvB7W6ioJkg
# NOTE: This was run using revision 1186029827c156e0ff6f9b36d6847eb2aa56757a of CodeReclaimers/neat-python, not a release on PyPI.

[NEAT]
pop_size              = 200
# Note: the fitness threshold will never be reached because
# we are controlling the termination ourselves based on simulation performance.
fitness_criterion     = mean
fitness_threshold     = 1.0
reset_on_extinction   = 0

[DefaultGenome]
num_inputs              = 2
num_hidden              = 0
num_outputs             = 3
initial_connection      = full
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 = mean
max_stagnation       = 15
species_elitism      = 4

[DefaultReproduction]
elitism            = 2
survival_threshold = 0.2