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| βββ¬ββββββ β¬ββββββ¬β | |
| ββ¬ββββββ¬β ββ¬βββββββ βββ | |
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| β ββ¦β β¬β¬β£β£ ββββ βββ£β£β£β£ββ ββββ βββ βββ ββ£β£β£ ββ£β£β£ | |
| β©β¬β¬β¬β¬β¬β¬β¦β¦β¬β¬β£β£ββ£β£β£β£β£β£β£β β«β£β£β£β£ | |
| ββ¬β¬β¬β¬β¬β¬β¬β£β£β£β£β£β£ββ | |
| ββ¬β¬β¬β£β£β£β | |
| β | |
| Version information: | |
| ml-agents: 1.2.0.dev0, | |
| ml-agents-envs: 1.2.0.dev0, | |
| Communicator API: 1.5.0, | |
| PyTorch: 2.8.0+cu128 | |
| [INFO] Learning was interrupted. Please wait while the graph is generated. | |
| Traceback (most recent call last): | |
| File "/content/venv310/bin/mlagents-learn", line 33, in <module> | |
| sys.exit(load_entry_point('mlagents', 'console_scripts', 'mlagents-learn')()) | |
| File "/content/ml-agents/ml-agents/mlagents/trainers/learn.py", line 270, in main | |
| run_cli(parse_command_line()) | |
| File "/content/ml-agents/ml-agents/mlagents/trainers/learn.py", line 266, in run_cli | |
| run_training(run_seed, options, num_areas) | |
| File "/content/ml-agents/ml-agents/mlagents/trainers/learn.py", line 138, in run_training | |
| tc.start_learning(env_manager) | |
| File "/content/ml-agents/ml-agents-envs/mlagents_envs/timers.py", line 305, in wrapped | |
| return func(*args, **kwargs) | |
| File "/content/ml-agents/ml-agents/mlagents/trainers/trainer_controller.py", line 197, in start_learning | |
| raise ex | |
| File "/content/ml-agents/ml-agents/mlagents/trainers/trainer_controller.py", line 172, in start_learning | |
| self._reset_env(env_manager) | |
| File "/content/ml-agents/ml-agents-envs/mlagents_envs/timers.py", line 305, in wrapped | |
| return func(*args, **kwargs) | |
| File "/content/ml-agents/ml-agents/mlagents/trainers/trainer_controller.py", line 105, in _reset_env | |
| env_manager.reset(config=new_config) | |
| File "/content/ml-agents/ml-agents/mlagents/trainers/env_manager.py", line 68, in reset | |
| self.first_step_infos = self._reset_env(config) | |
| File "/content/ml-agents/ml-agents/mlagents/trainers/subprocess_env_manager.py", line 446, in _reset_env | |
| ew.previous_step = EnvironmentStep(ew.recv().payload, ew.worker_id, {}, {}) | |
| File "/content/ml-agents/ml-agents/mlagents/trainers/subprocess_env_manager.py", line 101, in recv | |
| raise env_exception | |
| mlagents_envs.exception.UnityEnvironmentException: Couldn't launch the ./trained-envs-executables/linux/Huggy/Huggy.x86_64 environment. Provided filename does not match any environments. | |