RAY_GCS_ACTOR_SCHEDULING_ENABLED is wrong should be RAY_gcs_actor_scheduling_enabled. Since gcs based actor scheduling is not enabled yet so I just removed this flag.
* use nightly
* switch ml cpu to ray cpu
* fix
* add pytest
* add more pytest
* add constraint
* add tensorflow
* fix merge conflict
* add tblib
* fix
* add back uninstall
When testing it we should minimize unnecessary env vars (and it's better working with the default config). This PR removes unnecessary env vars that are set.