Commit graph

14 commits

Author SHA1 Message Date
kourosh hakhamaneshi
3815e52a61
[RLlib] Agents to algos: DQN w/o Apex and R2D2, DDPG/TD3, SAC, SlateQ, QMIX, PG, Bandits (#24896) 2022-05-19 18:30:42 +02:00
Jun Gong
c61910487f
[RLlib] Fix typo in docstring of PGTorchPolicy (#23818) 2022-04-11 19:31:45 +02:00
Balaji Veeramani
7f1bacc7dc
[CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes.
2022-01-29 18:41:57 -08:00
Kai Fricke
3e6ba5d6d2
Revert "Revert [RLlib] POC: PGTrainer class that works by sub-classing, not trainer_template.py." (#20285)
* Revert "Revert "[RLlib] POC: `PGTrainer` class that works by sub-classing, not `trainer_template.py`. (#20055)" (#20284)"
This reverts commit 246787cdd9.
Co-authored-by: sven1977 <svenmika1977@gmail.com>
2021-11-16 12:26:47 +01:00
Kai Fricke
246787cdd9
Revert "[RLlib] POC: PGTrainer class that works by sub-classing, not trainer_template.py. (#20055)" (#20284)
This reverts commit 6f85af435f.
2021-11-12 13:09:43 +00:00
Sven Mika
6f85af435f
[RLlib] POC: PGTrainer class that works by sub-classing, not trainer_template.py. (#20055) 2021-11-11 12:16:20 +01:00
Sven Mika
b213565783
[RLlib] Fix failing test cases: Soft-deprecate ModelV2.from_batch (in favor of ModelV2.__call__). (#19693) 2021-10-25 15:00:00 +02:00
Sven Mika
b4300dd532
[RLlib] Issue 18812: Torch multi-GPU stats not protected against race conditions. (#18937) 2021-10-04 13:29:00 +02:00
Sven Mika
99ae7bae05
[RLlib] JAXPolicy prep. PR #1. (#13077) 2020-12-26 20:14:18 -05:00
Sven Mika
62c7ab5182
[RLlib] Trajectory view API: Enable by default for PPO, IMPALA, PG, A3C (tf and torch). (#11747) 2020-11-12 16:27:34 +01:00
Sven Mika
36bda8432b
[RLlib] Trajectory view API: Simple List Collector (on by default for PPO); LSTM-agnostic (#11056) 2020-10-01 16:57:10 +02:00
Sven Mika
d14b501692
[RLlib] First attempt at cleaning up algo code in RLlib: PG. (#10115) 2020-08-20 17:05:57 +02:00
Sven Mika
d537e9f0d8
[RLlib] Exploration API: merge deterministic flag with exploration classes (SoftQ and StochasticSampling). (#7155) 2020-02-19 12:18:45 -08:00
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