(base) C:\Users\smile>activate ml-agents
(ml-agents) C:\Users\smile>mlagent-learn --help
'mlagent-learn'은(는) 내부 또는 외부 명령, 실행할 수 있는 프로그램, 또는
배치 파일이 아닙니다.
(ml-agents) C:\Users\smile>d:
(ml-agents) D:\>cd workspace
(ml-agents) D:\workspace>cd unity
(ml-agents) D:\workspace\unity>cd git
(ml-agents) D:\workspace\unity\git>cd ml-agents
(ml-agents) D:\workspace\unity\git\ml-agents>cd ml-agents
(ml-agents) D:\workspace\unity\git\ml-agents\ml-agents>dir
D 드라이브의 볼륨: 새 볼륨
볼륨 일련 번호: E294-BC0E
D:\workspace\unity\git\ml-agents\ml-agents 디렉터리
2019-05-17 오후 10:56
.
2019-05-17 오후 10:56
..
2019-05-17 오후 10:18
mlagents
2019-05-18 오전 12:03
2개 파일 2,822 바이트
4개 디렉터리 1,496,122,159,104 바이트 남음
(ml-agents) D:\workspace\unity\git\ml-agents\ml-agents>mlagents --help
'mlagents'은(는) 내부 또는 외부 명령, 실행할 수 있는 프로그램, 또는
배치 파일이 아닙니다.
(ml-agents) D:\workspace\unity\git\ml-agents\ml-agents>mlagents-learn --help
Traceback (most recent call last):
File
"c:\python\python36\lib\site-packages\pkg_resources\__init__.py", line
581,
in _build_master
ws.require(__requires__)
File
"c:\python\python36\lib\site-packages\pkg_resources\__init__.py", line
898,
in require
needed = self.resolve(parse_requirements(requirements))
File
"c:\python\python36\lib\site-packages\pkg_resources\__init__.py", line
789,
in resolve
raise VersionConflict(dist, req).with_context(dependent_req)
pkg_resources.ContextualVersionConflict: (Pillow
6.0.0 (c:\python\python36\lib\site
-packages),
Requirement.parse('Pillow<=5.4.1,>=4.2.1'), {
'mlagents-envs'})
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
from pkg_resources import load_entry_point
File
"c:\python\python36\lib\site-packages\pkg_resources\__init__.py", line
3126,
in @_call_aside
File
"c:\python\python36\lib\site-packages\pkg_resources\__init__.py", line
3110,
in _call_aside
f(*args, **kwargs)
File
"c:\python\python36\lib\site-packages\pkg_resources\__init__.py", line
3139,
in _initialize_master_working_set
working_set = WorkingSet._build_master()
File
"c:\python\python36\lib\site-packages\pkg_resources\__init__.py", line
583,
in _build_master
return cls._build_from_requirements(__requires__)
File
"c:\python\python36\lib\site-packages\pkg_resources\__init__.py", line
596,
in _build_from_requirements
dists = ws.resolve(reqs, Environment())
File
"c:\python\python36\lib\site-packages\pkg_resources\__init__.py", line
789,
in resolve
raise VersionConflict(dist, req).with_context(dependent_req)
pkg_resources.ContextualVersionConflict: (Pillow
6.0.0 (c:\python\python36\lib\site
-packages),
Requirement.parse('Pillow<=5.4.1,>=4.2.1'), {
'mlagents-envs'})
(ml-agents) D:\workspace\unity\git\ml-agents\ml-agents>pip3 uninstall pillow==6.0.0
Uninstalling Pillow-6.0.0:
Would remove:
c:\python\python36\lib\site-packages\pil\*
c:\python\python36\lib\site-packages\pillow-6.0.0.dist-info\*
Proceed (y/n)? y
Successfully uninstalled Pillow-6.0.0
(ml-agents) D:\workspace\unity\git\ml-agents\ml-agents>pip3 install pillow==5.0.0
Collecting pillow==5.0.0
|████████████████████████████████| 1.6MB 939kB/s
Installing collected packages: pillow
Successfully installed pillow-5.0.0
(ml-agents) D:\workspace\unity\git\ml-agents\ml-agents>mlagents-learn --help
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Usage:
mlagents-learn [options]
mlagents-learn --help
Options:
--env= Name of the Unity executable [default: None].
--curriculum= Curriculum json directory for environment [default: None].
--keep-checkpoints= How many model checkpoints to keep [default: 5].
--lesson= Start learning from this lesson [default: 0].
--load Whether to load the model or randomly initialize [default: False].
--run-id= The directory name for model and summary statistics [default: ppo].
--num-runs= Number of concurrent training sessions [default: 1].
--save-freq= Frequency at which to save model [default: 50000].
--seed= Random seed used for training [default: -1].
--slow Whether to run the game at training speed [default: False].
--train Whether to train model, or only run inference [default: False].
--base-port= Base port for environment communication [default: 5005].
--num-envs= Number of parallel environments to use for training [default: 1]
--docker-target-name= Docker volume to store training-specific files [default: None].
--no-graphics Whether to run the environment in no-graphics mode [default: False].
--debug Whether to run ML-Agents in debug mode with detailed logging [default: False].
(ml-agents) D:\workspace\unity\git\ml-agents\ml-agents>
