Resolved The option completion-criteria was specified in your YAML file for Lesson, but is invalid.

Hello, I tried training with curriculum learning, and I wrote this yaml file. However, mlagents.trainers.exception.TrainerConfigError happened. Where did I miss? I'm using Release 17.
yaml file:

Code (Boo):

1. behaviors:
2.   School_Only1F_Hard_Cur:
3.     trainer_type: ppo
4.  
5.     max_steps: 10000000
6.     keep_checkpoints: 100
7.     checkpoint_interval: 200000
8.     time_horizon: 64
9.     summary_freq: 10000
10.     threaded: true
11.  
12.     hyperparameters:
13.       batch_size: 64
14.       buffer_size: 2048
15.       learning_rate: 1e-4
16.       beta: 1e-3
17.       epsilon: 0.2
18.       lambd: 0.95
19.       num_epoch: 3
20.       learning_rate_schedule: linear
21.  
22.     network_settings:
23.       normalize: false
24.       hidden_units: 512
25.       num_layers: 3
26.       vis_encode_type: simple
27.  
28.     reward_signals:
29.       extrinsic:
30.         gamma: 0.995
31.         strength: 1.0
32.  
33.       curiosity:
34.         gamma: 0.995
35.         strength: 0.01
36.         encoding_size: 64
37.         learning_rate: 3e-4
38.  
39. environment_parameters:
40.   SpawnableAreaNum:
41.     curriculum:
42.       - name: B_StairSide
43.         completion-criteria:
44.           measure: reward
45.           behavior: School_Only1F_Hard_Cur
46.           signal_smoothing: true
47.           min_lesson_length: 100
48.           threshold: 0.8
49.         value: 0.0
50.  
51.       - name: A_StairSide
52.         completion-criteria:
53.           measure: reward
54.           behavior: School_Only1F_Hard_Cur
55.           signal_smoothing: true
56.           min_lesson_length: 100
57.           threshold: 0.7
58.         value: 1.0
59.  
60.       - name: C_StairSide
61.         completion-criteria:
62.           measure: reward
63.           behavior: School_Only1F_Hard_Cur
64.           signal_smoothing: true
65.           min_lesson_length: 100
66.           threshold: 0.7
67.         value: 2.0
68.  
69.       - name: All
70.         value: 3.0
71.  
72.   StepReward:
73.     curriculum:
74.       - name: B_StairSide
75.         completion-criteria:
76.           measure: reward
77.           behavior: School_Only1F_Hard_Cur
78.           signal_smoothing: true
79.           min_lesson_length: 100
80.           threshold: 0.8
81.         value: 0.0
82.  
83.       - name: A_StairSide
84.         completion-criteria:
85.           measure: reward
86.           behavior: School_Only1F_Hard_Cur
87.           signal_smoothing: true
88.           min_lesson_length: 100
89.           threshold: 0.7
90.         value: 0.0
91.  
92.       - name: C_StairSide
93.         completion-criteria:
94.           measure: reward
95.           behavior: School_Only1F_Hard_Cur
96.           signal_smoothing: true
97.           min_lesson_length: 100
98.           threshold: 0.7
99.         value: 0.0
100.  
101.       - name: All
102.         value: -0.0005
103.  

ERRORS:

[WARNING] 'encoding_size' was deprecated for RewardSignals. Please use network_settings.
Traceback (most recent call last):
File "C:\Users\yuta04\anaconda3\envs\ML-Agents2\Scripts\mlagents-learn-script.py", line 33, in <module>
sys.exit(load_entry_point('mlagents', 'console_scripts', 'mlagents-learn')())
File "c:\users\yuta04\ml-agents\ml-agents-release_17_branch\ml-agents\mlagents\trainers\learn.py", line 250, in main
run_cli(parse_command_line())
File "c:\users\yuta04\ml-agents\ml-agents-release_17_branch\ml-agents\mlagents\trainers\learn.py", line 49, in parse_command_line
return RunOptions.from_argparse(args)
File "c:\users\yuta04\ml-agents\ml-agents-release_17_branch\ml-agents\mlagents\trainers\settings.py", line 889, in from_argparse
final_runoptions = RunOptions.from_dict(configured_dict)
File "c:\users\yuta04\ml-agents\ml-agents-release_17_branch\ml-agents\mlagents\trainers\settings.py", line 906, in from_dict
return cattr.structure(options_dict, RunOptions)
File "C:\Users\yuta04\anaconda3\envs\ML-Agents2\lib\site-packages\cattr\converters.py", line 192, in structure
return self._structure_func.dispatch(cl)(obj, cl)
File "C:\Users\yuta04\anaconda3\envs\ML-Agents2\lib\site-packages\cattr\converters.py", line 314, in structure_attrs_fromdict
dispatch(type_)(val, type_) if type_ is not None else val
File "C:\Users\yuta04\anaconda3\envs\ML-Agents2\lib\site-packages\cattr\converters.py", line 387, in _structure_union
return self._structure_func.dispatch(other)(obj, other)
File "c:\users\yuta04\ml-agents\ml-agents-release_17_branch\ml-agents\mlagents\trainers\settings.py", line 572, in structure
environment_parameter_config, EnvironmentParameterSettings
File "c:\users\yuta04\ml-agents\ml-agents-release_17_branch\ml-agents\mlagents\trainers\settings.py", line 53, in strict_to_cls
d_copy[key] = check_and_structure(key, val, t)
File "c:\users\yuta04\ml-agents\ml-agents-release_17_branch\ml-agents\mlagents\trainers\settings.py", line 44, in check_and_structure
return cattr.structure(value, attr_fields_dict[key].type)
File "C:\Users\yuta04\anaconda3\envs\ML-Agents2\lib\site-packages\cattr\converters.py", line 192, in structure
return self._structure_func.dispatch(cl)(obj, cl)
File "C:\Users\yuta04\anaconda3\envs\ML-Agents2\lib\site-packages\cattr\converters.py", line 327, in _structure_list
for e in obj
File "C:\Users\yuta04\anaconda3\envs\ML-Agents2\lib\site-packages\cattr\converters.py", line 327, in <listcomp>
for e in obj
File "c:\users\yuta04\ml-agents\ml-agents-release_17_branch\ml-agents\mlagents\trainers\settings.py", line 53, in strict_to_cls
d_copy[key] = check_and_structure(key, val, t)
File "c:\users\yuta04\ml-agents\ml-agents-release_17_branch\ml-agents\mlagents\trainers\settings.py", line 41, in check_and_structure
f"The option {key} was specified in your YAML file for {class_type.__name__}, but is invalid."
mlagents.trainers.exception.TrainerConfigError: The option completion-criteria was specified in your YAML file for Lesson, but is invalid.

 

I missed writing somewhere and fixed.
This is moving now.