Sven Mika
130b7eeaba
[RLlib] Trainer to Algorithm renaming. ( #25539 )
2022-06-11 15:10:39 +02:00
Sven Mika
b5bc2b93c3
[RLlib] Move all remaining algos into algorithms directory. ( #25366 )
2022-06-04 07:35:24 +02:00
Yi Cheng
fd0f967d2e
Revert "[RLlib] Move (A/DD)?PPO and IMPALA algos to algorithms dir and rename policy and trainer classes. ( #25346 )" ( #25420 )
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This reverts commit e4ceae19ef#25346
linux://python/ray/tests:test_client_library_integration never fail before this PR.
In the CI of the reverted PR, it also fails (https://buildkite.com/ray-project/ray-builders-pr/builds/34079#01812442-c541-4145-af22-2a012655c128 ). So high likely it's because of this PR.
And test output failure seems related as well (https://buildkite.com/ray-project/ray-builders-branch/builds/7923#018125c2-4812-4ead-a42f-7fddb344105b )
2022-06-02 20:38:44 -07:00
Sven Mika
e4ceae19ef
[RLlib] Move (A/DD)?PPO and IMPALA algos to algorithms dir and rename policy and trainer classes. ( #25346 )
2022-06-02 16:47:05 +02:00
Jun Gong
eaf9c941ae
[RLlib] Migrate PPO Impala and APPO policies to use sub-classing implementation. ( #25117 )
2022-05-25 14:38:03 +02:00
Sven Mika
8f50087908
[RLlib] AlphaZero uses training_iteration API. ( #24507 )
2022-05-18 09:58:25 +02:00
Sven Mika
25001f6d8d
[RLlib] APPO Training iteration fn. ( #24545 )
2022-05-17 10:31:07 +02:00
Avnish Narayan
f2bb6f6806
[RLlib] Impala training iteration fn ( #23454 )
2022-05-05 16:11:08 +02:00
Sven Mika
026849cd27
[RLlib] APPO TrainerConfig objects. ( #24376 )
2022-05-02 15:06:23 +02:00
Sven Mika
c95dd79953
[RLlib] APPO eager fix (APPOTFPolicy gets wrapped as_eager() twice by mistake). ( #24268 )
2022-04-27 21:27:34 +02:00
Balaji Veeramani
31ed9e5d02
[CI] Replace YAPF disables with Black disables ( #21982 )
2022-02-08 16:29:25 -08:00
Balaji Veeramani
7f1bacc7dc
[CI] Format Python code with Black ( #21975 )
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See #21316 and #21311 for the motivation behind these changes.
2022-01-29 18:41:57 -08:00
Sven Mika
371fbb17e4
[RLlib] Make policies_to_train more flexible via callable option. ( #20735 )
2022-01-27 12:17:34 +01:00
Sven Mika
d5bfb7b7da
[RLlib] Preparatory PR for multi-agent multi-GPU learner (alpha-star style) #03 ( #21652 )
2022-01-25 14:16:58 +01:00
Sven Mika
92f030331e
[RLlib] Initial code/comment cleanups in preparation for decentralized multi-agent learner. ( #21420 )
2022-01-10 11:22:55 +01:00
Sven Mika
49cd7ea6f9
[RLlib] Trainer sub-class PPO/DDPPO (instead of build_trainer()). ( #20571 )
2021-11-23 23:01:05 +01:00
Sven Mika
9d2fe5756c
[RLlib] Trainer sub-class for APPO (instead of using build_trainer()). ( #20424 )
2021-11-22 22:14:21 +01:00
Sven Mika
5a313ba3d6
[RLlib] Refactor: All tf static graph code should reside inside Policy class. ( #17169 )
2021-07-20 14:58:13 -04:00
Sven Mika
dab241dcc6
[RLlib] Fix inconsistency wrt batch size in SampleCollector (traj. view API). Makes DD-PPO work with traj. view API. ( #12063 )
2020-11-19 19:01:14 +01:00
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
Michael Luo
ba5a3ae9e2
Enable vtrace by default ( #10962 )
2020-09-22 22:18:21 -07:00
Sumanth Ratna
9da7bdcc8e
Use master for links to docs in source ( #10866 )
2020-09-19 00:30:45 -07:00
Sven Mika
ef18893fb5
[RLlib] PPO, APPO, and DD-PPO code cleanup. ( #10420 )
2020-09-02 14:03:01 +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
2746fc0476
[RLlib] Auto-framework, retire use_pytorch in favor of framework=... ( #8520 )
2020-05-27 16:19:13 +02:00
Eric Liang
9a83908c46
[rllib] Deprecate policy optimizers ( #8345 )
2020-05-21 10:16:18 -07:00
Eric Liang
9d012626e5
[rllib] Distributed exec workflow for impala ( #8321 )
2020-05-11 20:24:43 -07:00
Sven Mika
166bb5d690
[RLlib] IMPALA PyTorch ( #8287 )
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This PR adds an IMPALA PyTorch implementation.
- adds compilation tests for LSTM and w/o LSTM.
- adds learning test for CartPole.
2020-05-03 13:44:25 +02:00
Sven Mika
499ad5fbe4
[RLlib] PyTorch version of APPO. ( #8120 )
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- Translate all vtrace functionality to torch and added torch to the framework_iterator-loop in all existing vtrace test cases.
- Add learning test cases for APPO torch (both w/ and w/o v-trace).
- Add quick compilation tests for APPO (tf and torch, v-trace and no v-trace).
2020-04-23 09:11:12 +02:00
Eric Liang
dd70720578
[rllib] Rename sample_batch_size => rollout_fragment_length ( #7503 )
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* bulk rename
* deprecation warn
* update doc
* update fig
* line length
* rename
* make pytest comptaible
* fix test
* fi sys
* rename
* wip
* fix more
* lint
* update svg
* comments
* lint
* fix use of batch steps
2020-03-14 12:05:04 -07:00
roireshef
3c60caa448
[rllib] implemented compute_advantages without gae ( #6941 )
2020-01-31 22:25:45 -08:00
Sven
60d4d5e1aa
Remove future imports ( #6724 )
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* Remove all __future__ imports from RLlib.
* Remove (object) again from tf_run_builder.py::TFRunBuilder.
* Fix 2xLINT warnings.
* Fix broken appo_policy import (must be appo_tf_policy)
* Remove future imports from all other ray files (not just RLlib).
* Remove future imports from all other ray files (not just RLlib).
* Remove future import blocks that contain `unicode_literals` as well.
Revert appo_tf_policy.py to appo_policy.py (belongs to another PR).
* Add two empty lines before Schedule class.
* Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error.
2020-01-09 00:15:48 -08:00
Eric Liang
5d7afe8092
[rllib] Try moving RLlib to top level dir ( #5324 )
2019-08-05 23:25:49 -07:00
