Sven Mika
7008902cff
[RLlib] Minor rllib.utils cleanup. ( #8932 )
2020-06-16 08:52:20 +02:00
Sven Mika
0ba7472da9
[Testing] Fix LINT/sphinx errors. ( #8874 )
2020-06-10 15:41:59 +02:00
Sven Mika
5f278c6411
[RLlib] Examples folder restructuring (models) part 1 ( #8353 )
2020-05-08 08:20:18 +02:00
Sven Mika
d0fab84e4d
[RLlib] DDPG PyTorch version. ( #7953 )
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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
22ccc43670
[RLlib] DQN torch version. ( #7597 )
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* 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
