ppo-LunarLander-v2 / training.log
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Upload Huggy model trained with ML-Agents
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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.