Commit graph

72 commits

Author SHA1 Message Date
Sven Mika
130b7eeaba
[RLlib] Trainer to Algorithm renaming. (#25539) 2022-06-11 15:10:39 +02:00
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
Artur Niederfahrenhorst
fb2915d26a
[RLlib] Replay Buffer API and Ape-X. (#24506) 2022-05-17 13:43:49 +02:00
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.

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* 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