Barak Michener
8e76796fd0
ci: Redo format.sh --all script & backfill lint fixes ( #9956 )
2020-08-07 16:49:49 -07:00
Sven Mika
fcdf410ae1
[RLlib] Tf2.x native. ( #8752 )
2020-07-11 22:06:35 +02:00
Sven Mika
4da0e542d5
[RLlib] DDPG and SAC eager support (preparation for tf2.x) ( #9204 )
2020-07-08 16:12:20 +02:00
Sven Mika
b4c0b942fe
[RLlib] Remove requirement for dataclasses in rllib (not supported in py3.5) ( #9237 )
2020-07-01 17:31:44 +02:00
Sven Mika
43043ee4d5
[RLlib] Tf2x preparation; part 2 (upgrading try_import_tf()). ( #9136 )
...
* WIP.
* Fixes.
* LINT.
* WIP.
* WIP.
* Fixes.
* Fixes.
* Fixes.
* Fixes.
* WIP.
* Fixes.
* Test
* Fix.
* Fixes and LINT.
* Fixes and LINT.
* LINT.
2020-06-30 10:13:20 +02:00
Sven Mika
4ed796a7d6
[RLlib] Add testing Policy.compute_single_action() for all agents. ( #8903 )
2020-06-13 17:51:50 +02:00
Sven Mika
2746fc0476
[RLlib] Auto-framework, retire use_pytorch in favor of framework=... ( #8520 )
2020-05-27 16:19:13 +02:00
Sven Mika
baa053496a
[RLlib] Benchmark and regression test yaml cleanup and restructuring. ( #8414 )
2020-05-26 11:10:27 +02:00
Eric Liang
9a83908c46
[rllib] Deprecate policy optimizers ( #8345 )
2020-05-21 10:16:18 -07:00
Sven Mika
754290daad
[RLlib] Add light-weight Trainer.compute_action() tests for all Algos. ( #8356 )
2020-05-08 16:31:31 +02:00
Sven Mika
d7eaacb5fe
[RLlib] Issue 8319 DDPG (MA or num_envs_per_worker > 1) broken. ( #8324 )
2020-05-08 08:26:32 +02:00
Eric Liang
b14cc16616
[rllib] Enable functional execution workflow API by default ( #8221 )
2020-05-05 12:36:42 -07:00
Sven Mika
b95e28faea
[RLlib] APEX_DDPG (PyTorch) test case and docs. ( #8288 )
...
APEX_DDPG (PyTorch) test case and docs.
2020-05-04 09:36:27 +02:00
Sven Mika
7ec2223c84
[RLlib] DDPG PyTorch actor-model was missing sigmoid layer ( #8188 )
...
Fix DDPG PyTorch (missing sigmoid layer (to squash action outputs) after deterministic action outputs).
2020-04-26 23:08:13 +02:00
Sven Mika
d0fab84e4d
[RLlib] DDPG PyTorch version. ( #7953 )
...
The DDPG/TD3 algorithms currently do not have a PyTorch implementation. This PR adds PyTorch support for DDPG/TD3 to RLlib.
This PR:
- Depends on the re-factor PR for DDPG (Functional Algorithm API).
- Adds learning regression tests for the PyTorch version of DDPG and a DDPG (torch)
- Updates the documentation to reflect that DDPG and TD3 now support PyTorch.
* Learning Pendulum-v0 on torch version (same config as tf). Wall time a little slower (~20% than tf).
* Fix GPU target model problem.
2020-04-16 10:20:01 +02:00
Sven Mika
1b31c11806
[RLlib] DDPG re-factor to fit into RLlib's functional algorithm builder API. ( #7934 )
2020-04-09 14:04:21 -07:00
Sven Mika
1d4823c0ec
[RLlib] Add testing framework_iterator. ( #7852 )
...
* Add testing framework_iterator.
* LINT.
* WIP.
* Fix and LINT.
* LINT fix.
2020-04-03 12:24:25 -07:00
Sven Mika
20ef4a8603
[RLlib] Cleanup/unify all test cases. ( #7533 )
2020-03-11 20:39:47 -07:00
Sven Mika
83e06cd30a
[RLlib] DDPG refactor and Exploration API action noise classes. ( #7314 )
...
* WIP.
* WIP.
* WIP.
* WIP.
* WIP.
* Fix
* WIP.
* Add TD3 quick Pendulum regresison.
* Cleanup.
* Fix.
* LINT.
* Fix.
* Sort quick_learning test cases, add TD3.
* Sort quick_learning test cases, add TD3.
* Revert test_checkpoint_restore.py (debugging) changes.
* Fix old soft_q settings in documentation and test configs.
* More doc fixes.
* Fix test case.
* Fix test case.
* Lower test load.
* WIP.
2020-03-01 11:53:35 -08:00
