ray/rllib/policy
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
..
tests [RLlib] DQN torch version. (#7597) 2020-04-06 11:56:16 -07:00
__init__.py Remove future imports (#6724) 2020-01-09 00:15:48 -08:00
dynamic_tf_policy.py [RLlib] Bug fix: Copy is_exploring placeholder for multi-GPU tower generation. (#7846) 2020-04-03 10:44:58 -07:00
eager_tf_policy.py [RLlib] DQN torch version. (#7597) 2020-04-06 11:56:16 -07:00
policy.py [RLlib] Exploration API: Policy changes needed for forward pass noisifications. (#7798) 2020-04-01 00:43:21 -07:00
rnn_sequencing.py [RLlib] Working/learning example: PPO + torch + LSTM. (#7797) 2020-03-31 22:00:28 -07:00
sample_batch.py [RLlib] Exploration API: Policy changes needed for forward pass noisifications. (#7798) 2020-04-01 00:43:21 -07:00
tf_policy.py [RLlib] Exploration API: ParamNoise Integration into DQN; working example/test cases. (#7814) 2020-04-03 10:44:25 -07:00
tf_policy_template.py [RLlib] DQN torch version. (#7597) 2020-04-06 11:56:16 -07:00
torch_policy.py [RLlib] DQN torch version. (#7597) 2020-04-06 11:56:16 -07:00
torch_policy_template.py [RLlib] Exploration API: ParamNoise Integration into DQN; working example/test cases. (#7814) 2020-04-03 10:44:25 -07:00