ray/rllib/agents/pg/__init__.py
Sven f1b56fa5ee PG unify/cleanup tf vs torch and PG functionality test cases (tf + torch). (#6650)
* Unifying the code for PGTrainer/Policy wrt tf vs torch.
Adding loss function test cases for the PGAgent (confirm equivalence of tf and torch).

* Fix LINT line-len errors.

* Fix LINT errors.

* Fix `tf_pg_policy` imports (formerly: `pg_policy`).

* Rename tf_pg_... into pg_tf_... following <alg>_<framework>_... convention, where ...=policy/loss/agent/trainer.
Retire `PGAgent` class (use PGTrainer instead).

* - Move PG test into agents/pg/tests directory.
- All test cases will be located near the classes that are tested and
  then built into the Bazel/Travis test suite.

* Moved post_process_advantages into pg.py (from pg_tf_policy.py), b/c
the function is not a tf-specific one.

* Fix remaining import errors for agents/pg/...

* Fix circular dependency in pg imports.

* Add pg tests to Jenkins test suite.
2020-01-02 16:08:03 -08:00

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Python

from ray.rllib.agents.pg.pg import PGTrainer, DEFAULT_CONFIG
from ray.rllib.agents.pg.pg_tf_policy import pg_tf_loss, \
post_process_advantages
from ray.rllib.agents.pg.pg_torch_policy import pg_torch_loss
__all__ = ["PGTrainer", "pg_tf_loss", "pg_torch_loss",
"post_process_advantages", "DEFAULT_CONFIG"]