[Solved] Unable to train the example environment

I have closely follow the installation guide, but still when i type'mlagents-learn config/trainer_config.yaml --run-id=firstRun --train', it appears:

D:\ml-agents-0.15.1>mlagents-learn config/trainer_config.yaml --run-id=firstRun --train
WARNING:tensorflow:From d:\python\unityml\lib\site-packages\tensorflow_core\python\compat\v2_compat.py:65: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
Instructions for updating:
non-resource variables are not supported in the long term


▄▄▄▓▓▓▓
╓▓▓▓▓▓▓█▓▓▓▓▓
,▄▄▄m▀▀▀' ,▓▓▓▀▓▓▄ ▓▓▓ ▓▓▌
▄▓▓▓▀' ▄▓▓▀ ▓▓▓ ▄▄ ▄▄ ,▄▄ ▄▄▄▄ ,▄▄ ▄▓▓▌▄ ▄▄▄ ,▄▄
▄▓▓▓▀ ▄▓▓▀ ▐▓▓▌ ▓▓▌ ▐▓▓ ▐▓▓▓▀▀▀▓▓▌ ▓▓▓ ▀▓▓▌▀ ^▓▓▌ ╒▓▓▌
▄▓▓▓▓▓▄▄▄▄▄▄▄▄▓▓▓ ▓▀ ▓▓▌ ▐▓▓ ▐▓▓ ▓▓▓ ▓▓▓ ▓▓▌ ▐▓▓▄ ▓▓▌
▀▓▓▓▓▀▀▀▀▀▀▀▀▀▀▓▓▄ ▓▓ ▓▓▌ ▐▓▓ ▐▓▓ ▓▓▓ ▓▓▓ ▓▓▌ ▐▓▓▐▓▓
^█▓▓▓ ▀▓▓▄ ▐▓▓▌ ▓▓▓▓▄▓▓▓▓ ▐▓▓ ▓▓▓ ▓▓▓ ▓▓▓▄ ▓▓▓▓`
'▀▓▓▓▄ ^▓▓▓ ▓▓▓ └▀▀▀▀ ▀▀ ^▀▀ `▀▀ `▀▀ '▀▀ ▐▓▓▌
▀▀▀▀▓▄▄▄ ▓▓▓▓▓▓, ▓▓▓▓▀
`▀█▓▓▓▓▓▓▓▓▓▌
¬`▀▀▀█▓


Version information:
ml-agents: 0.15.1,
ml-agents-envs: 0.15.1,
Communicator API: 0.15.0,
TensorFlow: 2.0.1
WARNING:tensorflow:From d:\python\unityml\lib\site-packages\tensorflow_core\python\compat\v2_compat.py:65: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
Instructions for updating:
non-resource variables are not supported in the long term
Process Process-1:
Traceback (most recent call last):
File "D:\Python\Python37\lib\multiprocessing\process.py", line 297, in _bootstrap
self.run()
File "D:\Python\Python37\lib\multiprocessing\process.py", line 99, in run
self._target(*self._args, **self._kwargs)
File "d:\ml-agents-0.15.1\ml-agents\mlagents\trainers\subprocess_env_manager.py", line 98, in worker
worker_id, [shared_float_properties, engine_configuration_channel]
File "d:\ml-agents-0.15.1\ml-agents\mlagents\trainers\learn.py", line 444, in create_unity_environment
side_channels=side_channels,
File "d:\ml-agents-0.15.1\ml-agents-envs\mlagents_envs\environment.py", line 143, in __init__
aca_output = self.send_academy_parameters(rl_init_parameters_in)
File "d:\ml-agents-0.15.1\ml-agents-envs\mlagents_envs\environment.py", line 558, in send_academy_parameters
return self.communicator.initialize(inputs)
File "d:\ml-agents-0.15.1\ml-agents-envs\mlagents_envs\rpc_communicator.py", line 98, in initialize
self.poll_for_timeout()
File "d:\ml-agents-0.15.1\ml-agents-envs\mlagents_envs\rpc_communicator.py", line 91, in poll_for_timeout
"The Unity environment took too long to respond. Make sure that :\n"
mlagents_envs.exception.UnityTimeOutException: The Unity environment took too long to respond. Make sure that :
The environment does not need user interaction to launch
The Agents are linked to the appropriate Brains
The environment and the Python interface have compatible versions.
2020-04-01 21:45:14 INFO [trainer_controller.py:104] Learning was interrupted. Please wait while the graph is generated.
2020-04-01 21:45:14 INFO [trainer_controller.py:100] Saved Model
2020-04-01 21:45:14 WARNING [learn.py:343] Unable to save to ./summaries/firstRun_timers.json. Make sure the directory exists

In unity editor, shows 'Couldn't connect to trainer on port 5004 using API version 0.15.0.'

any helps please? Thanks

 

Never mind, problem solved, the 0.15.0 communicator api has problem, i solved it by downgrading to 0.14.1.

 

How were you able to downgrade just the communicator api?

 

Can't, i mean the whole ml-agents, but you could check out :https://github.com/Unity-Technologies/ml-agents/issues/3667