` args = parser.parse_args()
print(args) # args PRINTED HERE ON LOCAL

command = args.command
enqueue = args.enqueue
track_remote = args.track_remote
preset_name = args.preset
type_name = args.type
environment_name = args.environment
nvidia_docker = args.nvidia_docker

# Initialize ClearML Task
task = (
    Task.init(
        project_name="reinforcement-learning/" + type_name,
        task_name=args.name or preset_name,
        tags=[environment_name],
        output_uri=True,
    )
    if track_remote or enqueue
    else None
)
# Execute remotly via CLearML
if enqueue is not None:
    task.execute_remotely(queue_name=enqueue, clone=False, exit_process=True) `