**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
clear_db_runs()
        clear_db_pools()
        clear_db_dags()
        clear_db_sla_miss()
        clear_db_errors()
        clear_db_jobs()
        clear_db_serialized_dags()
    def setUp(self):
        self.clean_db()
        
        
        self.null_exec = MockExecutor()
    def tearDown(self) -> None:
        self.clean_db()
    def create_test_dag(self, start_date=DEFAULT_DATE, end_date=DEFAULT_DATE + timedelta(hours=1), **kwargs):
        dag = DAG(
            dag_id='test_scheduler_reschedule',
            start_date=start_date,
            
            end_date=end_date)
        dag.clear()
        dag.is_subdag = False
        with create_session() as session:
            orm_dag = DagModel(dag_id=dag.dag_id, is_paused=False)
            session.merge(orm_dag)
            session.commit()
        return dag
    @classmethod
    @patch("airflow.models.dagbag.settings.STORE_SERIALIZED_DAGS", True)
    def setUpClass(cls):