FXCKING PLEASE HELP ME

Unity Engine
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1

I’m Korean. So I’m not good at ENGLISH. BUT PLZ HELP ME

Version information:
ml-agents: 0.28.0,
ml-agents-envs: 0.28.0,
Communicator API: 1.5.0,
PyTorch: 1.7.1+cpu
[INFO] Listening on port 5004. Start training by pressing the Play button in the Unity Editor.
Traceback (most recent call last):
File “c:\python38\lib\runpy.py”, line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File “c:\python38\lib\runpy.py”, line 87, in run_code
exec(code, run_globals)
File "C:\Python38\Scripts\mlagents-learn.exe_main.py", line 7, in
File “c:\python38\lib\site-packages\mlagents\trainers\learn.py”, line 260, in main
run_cli(parse_command_line())
File “c:\python38\lib\site-packages\mlagents\trainers\learn.py”, line 256, in run_cli
run_training(run_seed, options, num_areas)
File “c:\python38\lib\site-packages\mlagents\trainers\learn.py”, line 132, in run_training
tc.start_learning(env_manager)
File “c:\python38\lib\site-packages\mlagents_envs\timers.py”, line 305, in wrapped
return func(*args, **kwargs)
File “c:\python38\lib\site-packages\mlagents\trainers\trainer_controller.py”, line 173, in start_learning
self._reset_env(env_manager)
File “c:\python38\lib\site-packages\mlagents_envs\timers.py”, line 305, in wrapped
return func(*args, **kwargs)
File “c:\python38\lib\site-packages\mlagents\trainers\trainer_controller.py”, line 105, in _reset_env
env_manager.reset(config=new_config)
File “c:\python38\lib\site-packages\mlagents\trainers\env_manager.py”, line 68, in reset
self.first_step_infos = self._reset_env(config)
File “c:\python38\lib\site-packages\mlagents\trainers\subprocess_env_manager.py”, line 446, in _reset_env
ew.previous_step = EnvironmentStep(ew.recv().payload, ew.worker_id, {}, {})
File “c:\python38\lib\site-packages\mlagents\trainers\subprocess_env_manager.py”, line 101, 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’ Behavior Parameters > Behavior Type is set to “Default”
The environment and the Python interface have compatible versions.
If you’re running on a headless server without graphics support, turn off display by either passing --no-graphics option or build your Unity executable as server build.

why It doesn’t work.

2

Does your Behavior Name on the Agent match your training config file?

3

same problem here

4

I’ve encountered a noteworthy behavior when training with ML-Agents in Unity 2021, using Python 3.8. Despite receiving similar script errors, I realized that they might not be affecting the training process. These errors seemed to persist even when I paused the script after surpassing the expected timeframe set by ml-agents-learn.

Initially, it appeared that learning was not occurring, especially since Unity would pause whenever it lost focus, which was confirmed by the absence of updates until the 10,000-step mark. To address this, I updated my Unity settings to allow training to proceed even when the Unity Editor is not the active window.

Here’s what I did to fix the issue:

In the Unity Editor, I navigated to Edit → Project Settings → Player.
Under the ‘Resolution and Presentation’ tab, within the ‘Resolution’ section, I checked the ‘Run In Background’ option.

Now, Unity doesn’t stop the training if I switch windows, which means I can alternate between Unity and TensorBoard or other prompts without interrupting the ML training process.

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