I can't solve the error when I play 3DBall for the first time

I'm bigginner of unity and ML-agents. I took first learning of 3DBall, but I got some errors.
Please tell me why the errors happened and the solutions.

My Environment:
Unity : 2018.4.17f1
MLagents: release_1
python : 3.7.6
conda : 4.8.3
windows10

I try this command:
mlagents-learn ./config/trainer_config.yaml --run-id=firstRun
I got this error:

Version information:
ml-agents: 0.16.0,
ml-agents-envs: 0.16.0,
Communicator API: 1.0.0,
TensorFlow: 2.2.0
2020-05-29 17:04:17.573405: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
2020-05-29 17:04:17.581637: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
WARNING:tensorflow:From c:\anaconda\envs\ml-agents\lib\site-packages\tensorflow\python\compat\v2_compat.py:96: 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
2020-05-29 17:04:20 INFO [environment.py:201] Listening on port 5004. Start training by pressing the Play button in the Unity Editor.
2020-05-29 17:05:20 INFO [subprocess_env_manager.py:191] UnityEnvironment worker 0: environment stopping.
2020-05-29 17:05:20 WARNING [learn.py:420] Unable to save to ./summaries/firstRun_timers.json. Make sure the directory exists
Traceback (most recent call last):
File "c:\anaconda\envs\ml-agents\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "c:\anaconda\envs\ml-agents\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\anaconda\envs\ml-agents\Scripts\mlagents-learn.exe\__main__.py", line 7, in <module>
File "c:\anaconda\envs\ml-agents\lib\site-packages\mlagents\trainers\learn.py", line 554, in main
run_cli(parse_command_line())
File "c:\anaconda\envs\ml-agents\lib\site-packages\mlagents\trainers\learn.py", line 550, in run_cli
run_training(run_seed, options)
File "c:\anaconda\envs\ml-agents\lib\site-packages\mlagents\trainers\learn.py", line 407, in run_training
tc.start_learning(env_manager)
File "c:\anaconda\envs\ml-agents\lib\site-packages\mlagents_envs\timers.py", line 305, in wrapped
return func(*args, **kwargs)
File "c:\anaconda\envs\ml-agents\lib\site-packages\mlagents\trainers\trainer_controller.py", line 223, in start_learning
self._reset_env(env_manager)
File "c:\anaconda\envs\ml-agents\lib\site-packages\mlagents_envs\timers.py", line 305, in wrapped
return func(*args, **kwargs)
File "c:\anaconda\envs\ml-agents\lib\site-packages\mlagents\trainers\trainer_controller.py", line 154, in _reset_env
env.reset(config=sampled_reset_param)
File "c:\anaconda\envs\ml-agents\lib\site-packages\mlagents\trainers\env_manager.py", line 67, in reset
self.first_step_infos = self._reset_env(config)
File "c:\anaconda\envs\ml-agents\lib\site-packages\mlagents\trainers\subprocess_env_manager.py", line 295, in _reset_env
ew.previous_step = EnvironmentStep(ew.recv().payload, ew.worker_id, {}, {})
File "c:\anaconda\envs\ml-agents\lib\site-packages\mlagents\trainers\subprocess_env_manager.py", line 92, in recv
raise env_exception
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.

I can't understand this error.
Please give me solution.

 

1. mkdir summaries (for the first error)

2. Just to confirm, after you ran this command, did you press 'play' in Unity?

 

thank you for replying.
I pressed 'play' in Unity after I ran this command.
I think the 3DBall worked with predicted model.
Did the second error of 'The Agents are linked to the appropriate Brains' occur because of that reasen 'the 3DBall worked with predicted model' ?