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
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
bec719d823
[RLlib] Trainer sub-class IMPALA (instead of using build_trainer()). ( #20570 )
2021-11-30 19:08:36 +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
e6ae08f416
[RLlib] Optionally don't drop last ts in v-trace calculations (APPO and IMPALA). ( #19601 )
2021-11-03 10:01:34 +01:00
gjoliver
99a0088233
[RLlib] Unify the way we create local replay buffer for all agents ( #19627 )
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* [RLlib] Unify the way we create and use LocalReplayBuffer for all the agents.
This change
1. Get rid of the try...except clause when we call execution_plan(),
and get rid of the Deprecation warning as a result.
2. Fix the execution_plan() call in Trainer._try_recover() too.
3. Most importantly, makes it much easier to create and use different types
of local replay buffers for all our agents.
E.g., allow us to easily create a reservoir sampling replay buffer for
APPO agent for Riot in the near future.
* Introduce explicit configuration for replay buffer types.
* Fix is_training key error.
* actually deprecate buffer_size field.
2021-10-26 20:56:02 +02:00
gjoliver
9226f9bddc
[RLlib] Report timesteps_this_iter to Tune, so it can track/checkpoint/restore total timesteps trained. ( #19264 )
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* Report timesteps_this_iter to Tune, so it can track/checkpoint/restore
total timesteps trained.
* Trigger Build
* lint
2021-10-12 16:03:41 +02:00
Sven Mika
698b4eeed3
[RLlib] POC: Separate losses for APPO/IMPALA. Enable TFPolicy to handle multiple optimizers/losses (like TorchPolicy). ( #18669 )
2021-09-21 22:00:14 +02:00
Sven Mika
3803e796ff
[RLlib] Multi-GPU learner thread (IMPALA) error messages/comments/code-cleanup. ( #18540 )
2021-09-13 19:27:53 +02:00
Sven Mika
ea4a22249c
[RLlib] Add simple action-masking example script/env/model (tf and torch). ( #18494 )
2021-09-11 23:08:09 +02:00
Sven Mika
599e589481
[RLlib] Move existing fake multi-GPU learning tests into separate buildkite job. ( #18065 )
2021-08-31 14:56:53 +02:00
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
169ddabae7
[RLlib] Issue 15973: Trainer.with_updates(validate_config=...) behaves confusingly. ( #16429 )
2021-06-19 22:42:00 +02:00
Sven Mika
bdda73e2dd
[RLlib] Torch multi-GPU bug fixes (discussion 1755). ( #15421 )
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Thanks a lot @Bam4d for raising this and your help on fixing the worker GPU issue for torch!
2021-04-22 11:29:42 +02:00
Sven Mika
c90de315e5
[RLlib] APEX returns incorrect default resources (PleacementGroupFactory) colocated missing replay actors. ( #15295 )
2021-04-15 16:50:42 +01:00
Sven Mika
ef944bc5f0
[RLlib] Re-enable placement group support for RLlib. ( #14384 )
2021-03-05 08:16:24 +01:00
Eric Liang
9db000ff2c
Auto report object store memory usage; remove some deprecated code ( #14260 )
2021-03-01 13:19:44 -08:00
Richard Liaw
a2d2275ee1
Revert "[RLlib + Tune] Add placement group support to RLlib. ( #14289 )" ( #14360 )
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This reverts commit 6cd0cd3bd9
2021-02-25 14:27:35 -08:00
Sven Mika
6cd0cd3bd9
[RLlib + Tune] Add placement group support to RLlib. ( #14289 )
2021-02-25 16:01:31 +01:00
Sven Mika
2e3655e8a9
[RLlib] Issue 9071 A3C w/ RNN not working due to VF assuming no RNN. ( #13238 )
2021-01-19 14:22:36 +01:00
Sven Mika
e40b14d255
[RLlib] Batch-size for truncate_episode batch_mode should be confgurable in agent-steps (rather than env-steps), if needed. ( #12420 )
2020-12-08 16:41:45 -08:00
Sven Mika
19c8033df2
[RLlib] Fix most remaining RLlib algos for running with trajectory view API. ( #12366 )
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* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* LINT and fixes.
MB-MPO and MAML not working yet.
* wip
* update
* update
* rmeove
* remove dep
* higher
* Update requirements_rllib.txt
* Update requirements_rllib.txt
* relpos
* no mbmpo
Co-authored-by: Eric Liang <ekhliang@gmail.com>
2020-12-01 17:41:10 -08:00
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
Eric Liang
5acd3e66dd
[rllib] Fix torch TD error, IMPALA LR updates ( #9477 )
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* update
* add test
* lint
* fix super call
* speed es test up
2020-07-23 12:50:25 -07:00
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
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 Mika
e6227082bd
[RLlib] Add torch flag to train.py ( #6807 )
2020-01-17 18:48:44 -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
Robert Nishihara
39a3459886
Remove (object) from class declarations. ( #6658 )
2020-01-02 17:42:13 -08:00
Eric Liang
e2e30ca507
Ray, Tune, and RLlib support for memory, object_store_memory options ( #5226 )
2019-08-21 23:01:10 -07:00
Eric Liang
5d7afe8092
[rllib] Try moving RLlib to top level dir ( #5324 )
2019-08-05 23:25:49 -07:00
