Commit graph

12 commits

Author SHA1 Message Date
Grzegorz Bartyzel
d553d4da6c
[RLlib] DQN (Rainbow): Fix torch noisy layer support and loss (#16716) 2021-07-13 16:48:06 -04:00
Sven Mika
d9f1874e34
[RLlib] Minor fixes (torch GPU bugs + some cleanup). (#11609) 2020-10-27 10:00:24 +01:00
desktable
4ccfd07a61
[RLlib] Add docstrings for agents/dqn (#10710) 2020-09-15 12:37:07 +02:00
Olli Huotari
0dae50b5eb
Fixed num_atoms>1 in pytorch (#10330) 2020-08-25 23:10:20 -07:00
Barak Michener
8e76796fd0
ci: Redo format.sh --all script & backfill lint fixes (#9956) 2020-08-07 16:49:49 -07:00
Sven Mika
5dc4b6686e
[RLlib] Implement DQN PyTorch distributional head. (#9589) 2020-07-25 09:29:24 +02:00
Sven Mika
14160ca58c
[RLlib] Issue #9366 (DQN w/o dueling produces invalid actions). (#9386) 2020-07-10 12:43:03 +02:00
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)
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)
* 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