**Apache Airflow version**: 2.0.0a1

**What happened**:

On my dev environment I have a lot of DAG runs with failed tasks, where the *downstream* task instances then have been set to `upstream_failed`. The scheduler is now refusing to schedule more instances for such DAGs.

The scheduler looks for such task instances that are not in the `State.finished` set:

https://github.com/apache/airflow/blob/db3fe0926bb75008311eed804052c90bfa912424/airflow/jobs/scheduler_job.py#L1482-L1488

However, `State.finished` is currently not a proper inverse of *running* states, it only includes success, failed, and skipped:

https://github.com/apache/airflow/blob/db3fe0926bb75008311eed804052c90bfa912424/airflow/utils/state.py#L110-L114

What is missing is the task instance `upstream_failed` state, so currently my log is being filled (very rapidly) with:

```
[2020-10-18 13:22:18,503] {{scheduler_job.py:1658}} INFO - DAG test_dag already has 26 active runs, not queuing any more tasks
```

Those 26 'active runs' are simply dag runs that failed and have 'upstream_failed' task instances.

Either `upstream_failed` should be added to `State.finished`, or the Scheduler task instance test should explicitly take that state into account.
tests/jobs/test_scheduler_job.py
'{}/{}'.format(root, file_name))
        for file_path in list_py_file_paths(TEST_DAG_FOLDER, include_examples=False):
            detected_files.add(file_path)
        self.assertEqual(detected_files, expected_files)
        ignored_files = {
            'helper.py',
        }
        example_dag_folder = airflow.example_dags.__path__[0]
        for root, _, files in os.walk(example_dag_folder):  
            for file_name in files:
                if file_name.endswith('.py') or file_name.endswith('.zip'):
                    if file_name not in ['__init__.py'] and file_name not in ignored_files:
                        expected_files.add(os.path.join(root, file_name))
        detected_files.clear()
        for file_path in list_py_file_paths(TEST_DAG_FOLDER, include_examples=True):
            detected_files.add(file_path)
        self.assertEqual(detected_files, expected_files)
        smart_sensor_dag_folder = airflow.smart_sensor_dags.__path__[0]
        for root, _, files in os.walk(smart_sensor_dag_folder):
            for file_name in files:
                if (file_name.endswith('.py') or file_name.endswith('.zip')) and \
                        file_name not in ['__init__.py']:
                    expected_files.add(os.path.join(root, file_name))
        detected_files.clear()
        for file_path in list_py_file_paths(TEST_DAG_FOLDER,
                                            include_examples=True,
                                            include_smart_sensor=True):
            detected_files.add(file_path)
        self.assertEqual(detected_files, expected_files)
    def test_adopt_or_reset_orphaned_tasks_nothing(self):