Commit graph

23 commits

Author SHA1 Message Date
Sven Mika
92781c603e
[RLlib] A2C training_iteration method implementation (_disable_execution_plan_api=True) (#23735) 2022-04-15 18:36:13 +02:00
Sven Mika
04a5c72ea3
Revert "Revert "[RLlib] Speedup A3C up to 3x (new training_iteration function instead of execution_plan) and re-instate Pong learning test."" (#18708) 2022-02-10 13:44:22 +01:00
Alex Wu
b122f093c1
Revert "[RLlib] Speedup A3C up to 3x (new training_iteration function instead of execution_plan) and re-instate Pong learning test." (#22250)
Reverts ray-project/ray#22126

Breaks rllib:tests/test_io
2022-02-09 09:26:36 -08:00
Sven Mika
ac3e6ab411
[RLlib] Speedup A3C up to 3x (new training_iteration function instead of execution_plan) and re-instate Pong learning test. (#22126) 2022-02-08 19:04:13 +01:00
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
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
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
c07d8c4c22
[RLlib] Trainer sub-class A2C/A3C (instead of build_trainer). (#20635) 2021-11-24 22:07:13 +01:00
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
Sven Mika
9883505e84
[RLlib] Add [LSTM=True + multi-GPU]-tests to nightly RLlib testing suite (for all algos supporting RNNs, except R2D2, RNNSAC, and DDPPO). (#18017) 2021-08-24 21:55:27 +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
Michael Luo
474f04e322
[RLlib] DDPG/TD3 + A3C/A2C + MARWIL/BC Annotation/Comments/Code Cleanup (#14707) 2021-05-19 16:32:29 +02:00
Sven Mika
732197e23a
[RLlib] Multi-GPU for tf-DQN/PG/A2C. (#13393) 2021-03-08 15:41:27 +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
19d785b947
[LINT] Except RLlib from checking for flake8 error F821 (#9946) 2020-08-06 10:44:37 +02:00
Eric Liang
9a83908c46
[rllib] Deprecate policy optimizers (#8345) 2020-05-21 10:16:18 -07:00
Eric Liang
31b40b00f6
[rllib] Pull out experimental dsl into rllib.execution module, add initial unit tests (#7958) 2020-04-10 00:56:08 -07:00
Eric Liang
dd70720578
[rllib] Rename sample_batch_size => rollout_fragment_length (#7503)
* 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
Eric Liang
f5d12a958b
[rllib] Port Ape-X to distributed execution API (#7497) 2020-03-12 00:54:08 -07:00
Eric Liang
0f88444686
[rllib] Support multi-agent training in pipeline impls, add easy flag to enable (#7338) 2020-03-02 15:16:37 -08:00
Sven
60d4d5e1aa Remove future imports (#6724)
* 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
243b1b7281
[rllib] Add microbatch optimizer with A2C example (#6161) 2019-11-14 12:14:00 -08:00
Eric Liang
5d7afe8092
[rllib] Try moving RLlib to top level dir (#5324) 2019-08-05 23:25:49 -07:00
Renamed from python/ray/rllib/agents/a3c/a2c.py (Browse further)