又搞到3点,还是没有找到问题在哪,不过已经排除了是forward的问题
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@@ -2,14 +2,14 @@
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"basic": {
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"num_inputs": 2,
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"num_outputs": 1,
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"init_maximum_nodes": 10,
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"expands_coe": 2
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"init_maximum_nodes": 5,
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"expands_coe": 1.5
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},
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"neat": {
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"population": {
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"fitness_criterion": "max",
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"fitness_threshold": 3,
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"generation_limit": 100,
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"fitness_threshold": 76,
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"generation_limit": 1000,
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"pop_size": 100,
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"reset_on_extinction": "False"
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},
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@@ -17,8 +17,6 @@
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"bias": {
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"init_mean": 0.0,
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"init_stdev": 1.0,
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"max_value": 30.0,
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"min_value": -30.0,
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"mutate_power": 0.5,
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"mutate_rate": 0.7,
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"replace_rate": 0.1
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@@ -26,34 +24,23 @@
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"response": {
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"init_mean": 1.0,
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"init_stdev": 0.0,
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"max_value": 30.0,
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"min_value": -30.0,
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"mutate_power": 0.0,
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"mutate_rate": 0.0,
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"replace_rate": 0.0
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},
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"activation": {
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"default": "sigmoid",
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"options": "sigmoid",
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"options": ["sigmoid"],
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"mutate_rate": 0.01
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},
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"aggregation": {
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"default": "sum",
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"options": [
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"product",
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"sum",
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"max",
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"min",
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"median",
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"mean"
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],
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"options": ["sum"],
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"mutate_rate": 0.01
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},
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"weight": {
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"init_mean": 0.0,
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"init_stdev": 1.0,
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"max_value": 30.0,
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"min_value": -30.0,
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"mutate_power": 0.5,
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"mutate_rate": 0.8,
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"replace_rate": 0.1
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@@ -65,7 +52,6 @@
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"genome": {
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"compatibility_disjoint_coefficient": 1.0,
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"compatibility_weight_coefficient": 0.5,
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"feedforward": "True",
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"single_structural_mutation": "False",
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"conn_add_prob": 0.5,
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"conn_delete_prob": 0.5,
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@@ -81,28 +67,5 @@
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"survival_threshold": 0.2,
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"min_species_size": 1
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}
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},
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"hyperneat": {
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"substrate": {
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"type": "feedforward",
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"layers": [
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3,
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10,
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10,
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1
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],
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"x_lim": [
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-5,
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5
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],
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"y_lim": [
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-5,
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5
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],
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"threshold": 0.2,
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"max_weight": 5.0
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}
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},
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"es-hyperneat": {
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}
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}
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