Sven Mika
25001f6d8d
[RLlib] APPO Training iteration fn. ( #24545 )
2022-05-17 10:31:07 +02:00
Steven Morad
5c96e7223b
[RLlib] SimpleQ (minor cleanups) and DQN TrainerConfig objects. ( #24584 )
2022-05-15 16:14:43 +02:00
Max Pumperla
6a6c58b5b4
[RLlib] Config objects for DDPG and SimpleQ. ( #24339 )
2022-05-12 16:12:42 +02:00
Sven Mika
f54557073e
[RLlib] Remove execution_plan API code no longer needed. ( #24501 )
2022-05-06 12:29:53 +02:00
Sven Mika
1bc6419e0e
[RLlib] R2D2 training iteration fn AND switch off execution_plan API by default. ( #24165 )
2022-05-03 07:59:26 +02:00
Sven Mika
539832f2c5
[RLlib] SlateQ training iteration function. ( #24151 )
2022-04-29 18:38:17 +02:00
Sven Mika
bb4e5cb70a
[RLlib] CQL: training iteration function. ( #24166 )
2022-04-26 14:28:39 +02:00
Artur Niederfahrenhorst
e57ce7efd6
[RLlib] Replay Buffer API and Training Iteration Fn for DQN. ( #23420 )
2022-04-18 12:20:12 +02:00
Artur Niederfahrenhorst
9a64bd4e9b
[RLlib] Simple-Q uses training iteration fn (instead of execution_plan); ReplayBuffer API for Simple-Q ( #22842 )
2022-03-29 14:44:40 +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 )
...
See #21316 and #21311 for the motivation behind these changes.
2022-01-29 18:41:57 -08:00
Sven Mika
b10d5533be
[RLlib] Issue 20920 (partial solution): contrib/MADDPG + pettingzoo coop-pong-v4 not working. ( #21452 )
2022-01-10 11:19:40 +01:00
Sven Mika
853d10871c
[RLlib] Issue 18499: PGTrainer with training_iteration fn does not support multi-GPU. ( #21376 )
2022-01-05 18:22:33 +01:00
Sven Mika
63db0e3a7c
[RLlib] Fix SAC learning test flakiness introduced in PR: "Sub-class Trainer (instead of build_trainer()): All remaining classes; soft-deprecate build_trainer." ( #20985 )
2021-12-09 14:24:27 +01:00
Sven Mika
b4790900f5
[RLlib] Sub-class Trainer (instead of build_trainer()): All remaining classes; soft-deprecate build_trainer. ( #20725 )
2021-12-04 22:05:26 +01:00
Sven Mika
0de41e4a6b
[RLlib] Trainer sub-class QMIX/MAML/MB-MPO (instead of build_trainer). ( #20639 )
2021-12-02 13:17:10 +01:00
Sven Mika
3d2e27485b
[RLlib] Trainer sub-class DQN/SimpleQ/APEX-DQN/R2D2 (instead of using build_trainer). ( #20633 )
2021-11-30 18:05:44 +01:00
Artur Niederfahrenhorst
d07e50e957
[RLlib] Replay buffer API (cleanups; docstrings; renames; move into rllib/execution/buffers dir) ( #20552 )
2021-11-19 11:57:37 +01:00
gjoliver
d81885c1f1
[RLlib] Fix all the CI tests that were broken by is_training and replay buffer changes; re-comment-in the failing RLlib tests ( #19809 )
...
* Fix DDPG, since it is based on GenericOffPolicyTrainer.
* Fix QMix, SAC, and MADDPA too.
* Undo QMix change.
* Fix DQN input batch type. Always use SampleBatch.
* apex ddpg should not use replay_buffer_config yet.
* Make eager tf policy to use SampleBatch.
* lint
* LINT.
* Re-enable RLlib broken tests to make sure things work ok now.
* fixes.
Co-authored-by: sven1977 <svenmika1977@gmail.com>
2021-10-28 18:06:47 +02:00
gjoliver
99a0088233
[RLlib] Unify the way we create local replay buffer for all agents ( #19627 )
...
* [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
89fbfc00f8
[RLlib] Some minor cleanups (buffer buffer_size -> capacity and others). ( #19623 )
2021-10-25 09:42:39 +02:00
Sven Mika
ed85f59194
[RLlib] Unify all RLlib Trainer.train() -> results[info][learner][policy ID][learner_stats] and add structure tests. ( #18879 )
2021-09-30 16:39:05 +02:00
Sven Mika
9c9b482661
[RLlib] Allow n-step > 1 and prio. replay for R2D2 and RNNSAC. ( #18939 )
2021-09-29 21:31:34 +02:00
Sven Mika
4888d7c9af
[RLlib] Replay buffers: Add config option to store contents in checkpoints. ( #17999 )
2021-08-31 12:21:49 +02:00
Thomas Lecat
c02f91fa2d
[RLlib] Ape-X doesn't take the value of prioritized_replay into account ( #17541 )
2021-08-16 22:18:08 +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
1fd0eb805e
[RLlib] Redo fix bug normalize vs unsquash actions (original PR made log-likelihood test flakey). ( #17014 )
2021-07-13 14:01:30 -04:00
Amog Kamsetty
bc33dc7e96
Revert "[RLlib] Fix bug in policy.py: normalize_actions=True has to call unsquash_action, not normalize_action." ( #17002 )
...
This reverts commit 7862dd64ea
2021-07-12 11:09:14 -07:00
Sven Mika
7862dd64ea
[RLlib] Fix bug in policy.py: normalize_actions=True has to call unsquash_action, not normalize_action. ( #16774 )
2021-07-08 17:31:34 +02:00
Sven Mika
7318439c3d
[RLlib] DQN native_ratio (for training intensity) incorrect (discussion 1763). ( #15436 )
...
Thanks @Manuscrit !
2021-04-22 11:06:29 +02:00
Sven Mika
4f66309e19
[RLlib] Redo issue 14533 tf enable eager exec ( #14984 )
2021-03-29 20:07:44 +02:00
SangBin Cho
fa5f961d5e
Revert "[RLlib] Issue 14533: tf.enable_eager_execution() must be called at beginning. ( #14737 )" ( #14918 )
...
This reverts commit 3e389d5812
2021-03-25 00:42:01 -07:00
Sven Mika
3e389d5812
[RLlib] Issue 14533: tf.enable_eager_execution() must be called at beginning. ( #14737 )
2021-03-24 12:54:27 +01:00
Sven Mika
732197e23a
[RLlib] Multi-GPU for tf-DQN/PG/A2C. ( #13393 )
2021-03-08 15:41:27 +01:00
Sven Mika
8000258333
[RLlib] R2D2 Implementation. ( #13933 )
2021-02-25 12:18:11 +01:00
Sven Mika
19c8033df2
[RLlib] Fix most remaining RLlib algos for running with trajectory view API. ( #12366 )
...
* 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
b6b54f1c81
[RLlib] Trajectory view API: enable by default for SAC, DDPG, DQN, SimpleQ ( #11827 )
2020-11-16 10:54:35 -08:00
Sumanth Ratna
9da7bdcc8e
Use master for links to docs in source ( #10866 )
2020-09-19 00:30:45 -07:00
desktable
4ccfd07a61
[RLlib] Add docstrings for agents/dqn ( #10710 )
2020-09-15 12:37:07 +02:00
desktable
799318d7d7
[RLlib] Add type annotations for agents/dqn ( #10626 )
2020-09-09 18:55:26 +02:00
Sven Mika
28ab797cf5
[RLlib] Deprecate old classes, methods, functions, config keys (in prep for RLlib 1.0). ( #10544 )
2020-09-06 10:58:00 +02:00
Sven Mika
78dfed2683
[RLlib] Issue 8384: QMIX doesn't learn anything. ( #9527 )
2020-07-17 12:14:34 +02:00
Piotr Januszewski
155cc81e40
Clarify training intensity configuration docstring ( #9244 ) ( #9306 )
2020-07-05 20:07:27 -07:00
Eric Liang
34bae27ac7
[rllib] Flexible multi-agent replay modes and replay_sequence_length ( #8893 )
2020-06-12 20:17:27 -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
aa7a58e92f
[rllib] Support training intensity for dqn / apex ( #8396 )
2020-05-20 11:22:30 -07:00
Eric Liang
2c599dbf05
[rllib] Port QMIX, MADDPG to new execution API ( #8344 )
2020-05-07 23:41:10 -07:00
Eric Liang
b14cc16616
[rllib] Enable functional execution workflow API by default ( #8221 )
2020-05-05 12:36:42 -07:00
Eric Liang
2298f6fb40
[rllib] Port DQN/Ape-X to training workflow api ( #8077 )
2020-04-23 12:39:19 -07:00
