Commit graph

20 commits

Author SHA1 Message Date
Sven Mika
130b7eeaba
[RLlib] Trainer to Algorithm renaming. (#25539) 2022-06-11 15:10:39 +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
Jun Gong
eaf9c941ae
[RLlib] Migrate PPO Impala and APPO policies to use sub-classing implementation. (#25117) 2022-05-25 14:38:03 +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
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
fd13bac9b3
[RLlib] Add worker arg (optional) to policy_mapping_fn. (#18184) 2021-09-17 12:07:11 +02:00
Sven Mika
be6db06485
[RLlib] Re-do: Trainer: Support add and delete Policies. (#16569) 2021-06-21 13:46:01 +02:00
Amog Kamsetty
bd3cbfc56a
Revert "[RLlib] Allow policies to be added/deleted on the fly. (#16359)" (#16543)
This reverts commit e78ec370a9.
2021-06-18 12:21:49 -07:00
Sven Mika
e78ec370a9
[RLlib] Allow policies to be added/deleted on the fly. (#16359) 2021-06-18 10:31:30 +02:00
Sven Mika
d2c755ccef
[RLlib] Examples scripts add argparse help and replace --torch with --framework. (#15832) 2021-05-18 13:18:12 +02:00
Sven Mika
5637d89ecc
[RLlib] Serve + RLlib example script. (#14416) 2021-03-03 14:33:03 +01:00
Sven Mika
4cd5c1da2c
[RLlib] Remove flaky test case for mixed (tf+torch) policies trainer. (#14357) 2021-02-25 14:07:05 -08:00
Sven Mika
c17169dc11
[RLlib] Fix all example scripts to run on GPUs. (#11105) 2020-10-02 23:07:44 +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
57544b1ff9
[RLlib] Examples folder restructuring (Model examples; final part). (#8278)
- This PR completes any previously missing PyTorch Model counterparts to TFModels in examples/models.
- It also makes sure, all example scripts in the rllib/examples folder are tested for both frameworks and learn the given task (this is often currently not checked) using a --as-test flag in connection with a --stop-reward.
2020-05-12 08:23:10 +02:00
Sven Mika
42991d723f
[RLlib] rllib/examples folder restructuring (#8250)
Cleans up of the rllib/examples folder by moving all example Envs into rllibexamples/env (so they can be used by other scripts and tests as well).
2020-05-01 22:59:34 +02:00
Sven Mika
22ccc43670
[RLlib] DQN torch version. (#7597)
* Fix.

* Rollback.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* Fix.

* Fix.

* Fix.

* Fix.

* Fix.

* WIP.

* WIP.

* Fix.

* Test case fixes.

* Test case fixes and LINT.

* Test case fixes and LINT.

* Rollback.

* WIP.

* WIP.

* Test case fixes.

* Fix.

* Fix.

* Fix.

* Add regression test for DQN w/ param noise.

* Fixes and LINT.

* Fixes and LINT.

* Fixes and LINT.

* Fixes and LINT.

* Fixes and LINT.

* Comment

* Regression test case.

* WIP.

* WIP.

* LINT.

* LINT.

* WIP.

* Fix.

* Fix.

* Fix.

* LINT.

* Fix (SAC does currently not support eager).

* Fix.

* WIP.

* LINT.

* Update rllib/evaluation/sampler.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/evaluation/sampler.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/utils/exploration/exploration.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/utils/exploration/exploration.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* WIP.

* WIP.

* Fix.

* LINT.

* LINT.

* Fix and LINT.

* WIP.

* WIP.

* WIP.

* WIP.

* Fix.

* LINT.

* Fix.

* Fix and LINT.

* Update rllib/utils/exploration/exploration.py

* Update rllib/policy/dynamic_tf_policy.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/policy/dynamic_tf_policy.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Update rllib/policy/dynamic_tf_policy.py

Co-Authored-By: Eric Liang <ekhliang@gmail.com>

* Fixes.

* WIP.

* LINT.

* Fixes and LINT.

* LINT and fixes.

* LINT.

* Move action_dist back into torch extra_action_out_fn and LINT.

* Working SimpleQ learning cartpole on both torch AND tf.

* Working Rainbow learning cartpole on tf.

* Working Rainbow learning cartpole on tf.

* WIP.

* LINT.

* LINT.

* Update docs and add torch to APEX test.

* LINT.

* Fix.

* LINT.

* Fix.

* Fix.

* Fix and docstrings.

* Fix broken RLlib tests in master.

* Split BAZEL learning tests into cartpole and pendulum (reached the 60min barrier).

* Fix error_outputs option in BAZEL for RLlib regression tests.

* Fix.

* Tune param-noise tests.

* LINT.

* Fix.

* Fix.

* test

* test

* test

* Fix.

* Fix.

* WIP.

* WIP.

* WIP.

* WIP.

* LINT.

* WIP.

Co-authored-by: Eric Liang <ekhliang@gmail.com>
2020-04-06 11:56:16 -07:00
Sven Mika
d537e9f0d8
[RLlib] Exploration API: merge deterministic flag with exploration classes (SoftQ and StochasticSampling). (#7155) 2020-02-19 12:18:45 -08:00
Renamed from rllib/examples/multiagent_two_trainers.py (Browse further)