Commit graph

27 commits

Author SHA1 Message Date
kourosh hakhamaneshi
8ddcf89096
[RLlib] Implemented ViewRequirementConnector (#26998) 2022-07-26 21:52:14 -07:00
Sven Mika
be1042429d
[RLlib] Deprecation: Replace remaining evaluation_num_episodes with evaluation_duration. (#26000) 2022-06-23 19:11:29 +02:00
Sven Mika
b5bc2b93c3
[RLlib] Move all remaining algos into algorithms directory. (#25366) 2022-06-04 07:35:24 +02:00
Yi Cheng
fd0f967d2e
Revert "[RLlib] Move (A/DD)?PPO and IMPALA algos to algorithms dir and rename policy and trainer classes. (#25346)" (#25420)
This reverts commit e4ceae19ef.

Reverts #25346

linux://python/ray/tests:test_client_library_integration never fail before this PR.

In the CI of the reverted PR, it also fails (https://buildkite.com/ray-project/ray-builders-pr/builds/34079#01812442-c541-4145-af22-2a012655c128). So high likely it's because of this PR.

And test output failure seems related as well (https://buildkite.com/ray-project/ray-builders-branch/builds/7923#018125c2-4812-4ead-a42f-7fddb344105b)
2022-06-02 20:38:44 -07:00
Sven Mika
e4ceae19ef
[RLlib] Move (A/DD)?PPO and IMPALA algos to algorithms dir and rename policy and trainer classes. (#25346) 2022-06-02 16:47:05 +02:00
Avnish Narayan
6e68b6bef9
[RLlib] DD-PPO training iteration fn. (#24118)
We had unreported merge conflicts with DDPPO. This PR closes and combines #24092, #24035, #24030 and #23096

Co-authored-by: sven1977 <svenmika1977@gmail.com>
2022-04-22 15:22:14 -07:00
Kai Fricke
9f7170e444
Revert "Revert revert #23906 [RLlib] DD-PPO training iteration function implementation. (#24035)" (#24103)
This reverts commit a337fd994e.
2022-04-22 09:58:58 +01:00
Avnish Narayan
a337fd994e
Revert revert #23906 [RLlib] DD-PPO training iteration function implementation. (#24035) 2022-04-21 17:37:49 +02:00
Avnish Narayan
0ddbce6518
Revert "[RLlib] DD-PPO training iteration fn (#23906)" (#24030)
The DDPPO LR scheduler test is broken because the learner_info_dictionary that is returned by the training iteration function does not consistently return a learner info for every training iteration, but the test expects that it does.

We'll need to fix the test then re-merge

Reverts #23906
2022-04-19 16:43:57 -07:00
Sven Mika
eb54236d13
[RLlib] DD-PPO training iteration fn (#23906) 2022-04-19 17:55:26 +02:00
Sven Mika
a8494742a3
[RLlib] Memory leak finding toolset using tracemalloc + CI memory leak tests. (#15412) 2022-04-12 07:50:09 +02:00
Sven Mika
6522935291
[RLlib] Slate-Q tf implementation and tests/benchmarks. (#22389) 2022-02-22 09:36:44 +01:00
Sven Mika
f3397b6f48
[RLlib] Minor fixes/cleanups; chop_into_sequences now handles nested data. (#19408) 2021-11-05 14:39:28 +01:00
Avnish Narayan
026bf01071
[RLlib] Upgrade gym version to 0.21 and deprecate pendulum-v0. (#19535)
* Fix QMix, SAC, and MADDPA too.

* Unpin gym and deprecate pendulum v0

Many tests in rllib depended on pendulum v0,
however in gym 0.21, pendulum v0 was deprecated
in favor of pendulum v1. This may change reward
thresholds, so will have to potentially rerun
all of the pendulum v1 benchmarks, or use another
environment in favor. The same applies to frozen
lake v0 and frozen lake v1

Lastly, all of the RLlib tests and have
been moved to python 3.7

* Add gym installation based on python version.

Pin python<= 3.6 to gym 0.19 due to install
issues with atari roms in gym 0.20

* Reformatting

* Fixing tests

* Move atari-py install conditional to req.txt

* migrate to new ale install method

* Fix QMix, SAC, and MADDPA too.

* Unpin gym and deprecate pendulum v0

Many tests in rllib depended on pendulum v0,
however in gym 0.21, pendulum v0 was deprecated
in favor of pendulum v1. This may change reward
thresholds, so will have to potentially rerun
all of the pendulum v1 benchmarks, or use another
environment in favor. The same applies to frozen
lake v0 and frozen lake v1

Lastly, all of the RLlib tests and have
been moved to python 3.7
* Add gym installation based on python version.

Pin python<= 3.6 to gym 0.19 due to install
issues with atari roms in gym 0.20

Move atari-py install conditional to req.txt

migrate to new ale install method

Make parametric_actions_cartpole return float32 actions/obs

Adding type conversions if obs/actions don't match space

Add utils to make elements match gym space dtypes

Co-authored-by: Jun Gong <jungong@anyscale.com>
Co-authored-by: sven1977 <svenmika1977@gmail.com>
2021-11-03 16:24:00 +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
Sven Mika
2d24ef0d32
[RLlib] Add all simple learning tests as framework=tf2. (#19273)
* Unpin gym and deprecate pendulum v0

Many tests in rllib depended on pendulum v0,
however in gym 0.21, pendulum v0 was deprecated
in favor of pendulum v1. This may change reward
thresholds, so will have to potentially rerun
all of the pendulum v1 benchmarks, or use another
environment in favor. The same applies to frozen
lake v0 and frozen lake v1

Lastly, all of the RLlib tests and Tune tests have
been moved to python 3.7

* fix tune test_sampler::testSampleBoundsAx

* fix re-install ray for py3.7 tests

Co-authored-by: avnishn <avnishn@uw.edu>
2021-11-02 12:10:17 +01:00
Sven Mika
8a72824c63
[RLlib Testig] Split and unflake more CI tests (make sure all jobs are < 30min). (#18591) 2021-09-15 22:16:48 +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
53206dd440
[RLlib] CQL BC loss fixes; PPO/PG/A2|3C action normalization fixes (#16531) 2021-06-30 12:32:11 +02:00
Sven Mika
e74947cc94
[RLlib] Env directory cleanup and tests. (#13082) 2021-01-19 10:09:39 +01:00
Sven Mika
93c0a5549b
[RLlib] Deprecate vf_share_layers in top-level PPO/MAML/MB-MPO configs. (#13397) 2021-01-19 09:51:35 +01:00
Sven Mika
a90cd0fcbb
[RLlib] Unity3d soccer benchmarks (#8834) 2020-06-11 14:29:57 +02:00
Sven Mika
c74dc58f8b
[RLlib] Fix use_lstm flag for ModelV2 (w/o ModelV1 wrapping) and add it for PyTorch. (#8734) 2020-06-05 15:40:30 +02:00
Sven Mika
97d524c075
[RLlib] Issue 8769 broken OOM tests_dir cases (R & S). (#8770) 2020-06-05 08:34:21 +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