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53 commits

Author SHA1 Message Date
Sven Mika
baa053496a
[RLlib] Benchmark and regression test yaml cleanup and restructuring. (#8414) 2020-05-26 11:10:27 +02:00
Eric Liang
9a83908c46
[rllib] Deprecate policy optimizers (#8345) 2020-05-21 10:16:18 -07:00
Sven Mika
796a834c48
[RLlib] Attention Net integration into ModelV2 and learning RL example. (#8371) 2020-05-18 17:26:40 +02:00
Sven Mika
5f4c196fed
[RLlib] Make PyTorch Model forward pass faster in vf-case. (#8422) 2020-05-14 10:15:50 +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
Eric Liang
9d012626e5
[rllib] Distributed exec workflow for impala (#8321) 2020-05-11 20:24:43 -07:00
Sven Mika
754290daad
[RLlib] Add light-weight Trainer.compute_action() tests for all Algos. (#8356) 2020-05-08 16:31:31 +02:00
Eric Liang
9f04a65922
[rllib] Add PPO+DQN two trainer multiagent workflow example (#8334) 2020-05-07 23:40:29 -07:00
Sven Mika
b95e28faea
[RLlib] APEX_DDPG (PyTorch) test case and docs. (#8288) 
APEX_DDPG (PyTorch) test case and docs.
 2020-05-04 09:36:27 +02:00
Sven Mika
166bb5d690
[RLlib] IMPALA PyTorch (#8287) 
This PR adds an IMPALA PyTorch implementation.

- adds compilation tests for LSTM and w/o LSTM.
- adds learning test for CartPole.
 2020-05-03 13:44:25 +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
b23b6addfc
[RLlib] Stabilize Pendulum-v0 regression test cases. (#8232) 
Stabilize Pendulum regression test cases.
 2020-04-30 15:48:11 +02:00
Sven Mika
bf25aee392
[RLlib] Deprecate all Model(v1) usage. (#8146) 
Deprecate all Model(v1) usage.
 2020-04-29 12:12:59 +02:00
Sven Mika
1775e89f26
[RLlib] Remove TupleActions and support arbitrarily nested action spaces. (#8143) 
Deprecate TupleActions and support arbitrarily nested action spaces.
Closes issue #8143.
 2020-04-28 14:59:16 +02:00
Sven Mika
4e713152e9
[RLlib] Fix for issue https://github.com/ray-project/ray/issues/8191 (#8200) 
Fix attribute error when missing exploration in Policy.
Issue #8191
 2020-04-27 23:19:26 +02:00
Sven Mika
499ad5fbe4
[RLlib] PyTorch version of APPO. (#8120) 
- Translate all vtrace functionality to torch and added torch to the framework_iterator-loop in all existing vtrace test cases.
- Add learning test cases for APPO torch (both w/ and w/o v-trace).
- Add quick compilation tests for APPO (tf and torch, v-trace and no v-trace).
 2020-04-23 09:11:12 +02:00
Sven Mika
e9ee5c4e5f
[RLlib] Nested action space PR (minimally invasive; torch only + test). (#8101) 
- Add TorchMultiActionDistribution class.
- Add framework-agnostic test cases for TorchMultiActionDistribution.
 2020-04-23 09:09:22 +02:00
Sven Mika
3812bfedda
[RLlib] PyTorch version of ES (Evolution Strategies). (#8104) 
PyTorch version of Evolution Strategies (ES) Algo.
 2020-04-20 21:47:28 +02:00
roireshef
dbcad35022
[RLlib] Added DefaultCallbacks which replaces old callbacks dict interface (#6972) 2020-04-16 16:06:42 -07:00
Eric Liang
31b40b00f6
[rllib] Pull out experimental dsl into rllib.execution module, add initial unit tests (#7958) 2020-04-10 00:56:08 -07:00
Sven Mika
1b31c11806
[RLlib] DDPG re-factor to fit into RLlib's functional algorithm builder API. (#7934) 2020-04-09 14:04:21 -07:00
Eric Liang
e8c19aba41
[rllib] Add test case that we don't have a hard torch dependency (#7926) 2020-04-07 18:07:39 -07:00
Sven Mika
c2cb5c2214
[RLlib] MARWIL torch. (#7836) 
* WIP.

* WIP.

* LINT.

* Fix MARWIL so it can run with eager-mode.

* LINT.
 2020-04-06 16:38:50 -07:00
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
82c2d9faba
[RLlib] Fix broken RLlib tests in master. (#7894) 2020-04-05 09:34:23 -07:00
Sven Mika
bb6c675231
[RLlib] Bug fix: Copy is_exploring placeholder for multi-GPU tower generation. (#7846) 2020-04-03 10:44:58 -07:00
Sven Mika
e153e3179f
[RLlib] Exploration API: Policy changes needed for forward pass noisifications. (#7798) 
* Rollback.

* WIP.

* WIP.

* 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.

* LINT.

* WIP.

Co-authored-by: Eric Liang <ekhliang@gmail.com>
 2020-04-01 00:43:21 -07:00
Sven Mika
66df8b8c35
[RLlib] Working/learning example: PPO + torch + LSTM. (#7797) 2020-03-31 22:00:28 -07:00
Sven Mika
e4bd5db4d8
[RLlib] Minimal ParamNoise PR. (#7772) 2020-03-28 16:16:30 -07:00
Saurabh Gupta
6ddf84b019
Contextual Bandit algorithms (WIP) (#7642) 2020-03-26 13:41:16 -07:00
Sven Mika
1138f2ebed
[RLlib] Issue 7046 cannot restore keras model from h5 file. (#7482) 2020-03-23 12:19:30 -07:00
Eric Liang
7ebc6783e4
[rllib] Add back get_policy_output method for SAC model (#7604) 2020-03-20 12:44:04 -07:00
Eric Liang
9392cdbf74
[rllib] Add high-performance external application connector (#7641) 2020-03-20 12:43:57 -07:00
Eric Liang
dd70720578
[rllib] Rename sample_batch_size => rollout_fragment_length (#7503) 
* bulk rename

* deprecation warn

* update doc

* update fig

* line length

* rename

* make pytest comptaible

* fix test

* fi sys

* rename

* wip

* fix more

* lint

* update svg

* comments

* lint

* fix use of batch steps
 2020-03-14 12:05:04 -07:00
Eric Liang
c3a8ba399f
[rllib] Enable distributed exec api for A2C, A3C, PG by default (#7580) 2020-03-13 18:48:41 -07:00
Sven Mika
552cfb37ea
[RLlib] Fix bugs and speed up SegmentTree 2020-03-13 01:03:07 -07:00
Sven Mika
80d314ae5e
[RLlib] Add all agents to rllib rollout tests. (#7534) 2020-03-12 11:02:51 -07:00
Eric Liang
f5d12a958b
[rllib] Port Ape-X to distributed execution API (#7497) 2020-03-12 00:54:08 -07:00
Sven Mika
20ef4a8603
[RLlib] Cleanup/unify all test cases. (#7533) 2020-03-11 20:39:47 -07:00
Eric Liang
be48e1964b
[rllib] Fix per-worker exploration in Ape-X; make more kwargs required for future safety (#7504) 
* fix sched

* lintc

* lint

* fix

* add unit test

* fix

* format

* fix test

* fix test
 2020-03-10 11:14:14 -07:00
Sven Mika
510c850651
[RLlib] SAC add discrete action support. (#7320) 
* Exploration API (+EpsilonGreedy sub-class).

* Exploration API (+EpsilonGreedy sub-class).

* Cleanup/LINT.

* Add `deterministic` to generic Trainer config (NOTE: this is still ignored by most Agents).

* Add `error` option to deprecation_warning().

* WIP.

* Bug fix: Get exploration-info for tf framework.
Bug fix: Properly deprecate some DQN config keys.

* WIP.

* LINT.

* WIP.

* Split PerWorkerEpsilonGreedy out of EpsilonGreedy.
Docstrings.

* Fix bug in sampler.py in case Policy has self.exploration = None

* Update rllib/agents/dqn/dqn.py

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

* WIP.

* Update rllib/agents/trainer.py

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

* WIP.

* Change requests.

* LINT

* In tune/utils/util.py::deep_update() Only keep deep_updat'ing if both original and value are dicts. If value is not a dict, set

* Completely obsolete syn_replay_optimizer.py's parameters schedule_max_timesteps AND beta_annealing_fraction (replaced with prioritized_replay_beta_annealing_timesteps).

* Update rllib/evaluation/worker_set.py

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

* Review fixes.

* Fix default value for DQN's exploration spec.

* LINT

* Fix recursion bug (wrong parent c'tor).

* Do not pass timestep to get_exploration_info.

* Update tf_policy.py

* Fix some remaining issues with test cases and remove more deprecated DQN/APEX exploration configs.

* Bug fix tf-action-dist

* DDPG incompatibility bug fix with new DQN exploration handling (which is imported by DDPG).

* Switch off exploration when getting action probs from off-policy-estimator's policy.

* LINT

* Fix test_checkpoint_restore.py.

* Deprecate all SAC exploration (unused) configs.

* Properly use `model.last_output()` everywhere. Instead of `model._last_output`.

* WIP.

* Take out set_epsilon from multi-agent-env test (not needed, decays anyway).

* WIP.

* Trigger re-test (flaky checkpoint-restore test).

* WIP.

* WIP.

* Add test case for deterministic action sampling in PPO.

* bug fix.

* Added deterministic test cases for different Agents.

* Fix problem with TupleActions in dynamic-tf-policy.

* Separate supported_spaces tests so they can be run separately for easier debugging.

* LINT.

* Fix autoregressive_action_dist.py test case.

* Re-test.

* Fix.

* Remove duplicate py_test rule from bazel.

* LINT.

* WIP.

* WIP.

* SAC fix.

* SAC fix.

* WIP.

* WIP.

* WIP.

* FIX 2 examples tests.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* Fix.

* LINT.

* Renamed test file.

* WIP.

* Add unittest.main.

* Make action_dist_class mandatory.

* fix

* FIX.

* WIP.

* WIP.

* Fix.

* Fix.

* Fix explorations test case (contextlib cannot find its own nullcontext??).

* Force torch to be installed for QMIX.

* LINT.

* Fix determine_tests_to_run.py.

* Fix determine_tests_to_run.py.

* WIP

* Add Random exploration component to tests (fixed issue with "static-graph randomness" via py_function).

* Add Random exploration component to tests (fixed issue with "static-graph randomness" via py_function).

* Rename some stuff.

* Rename some stuff.

* WIP.

* update.

* WIP.

* Gumbel Softmax Dist.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP

* WIP.

* WIP.

* Hypertune.

* Hypertune.

* Hypertune.

* Lock-in.

* Cleanup.

* LINT.

* Fix.

* Update rllib/policy/eager_tf_policy.py

Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com>

* Update rllib/agents/sac/sac_policy.py

Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com>

* Update rllib/agents/sac/sac_policy.py

Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com>

* Update rllib/models/tf/tf_action_dist.py

Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com>

* Update rllib/models/tf/tf_action_dist.py

Co-Authored-By: Kristian Hartikainen <kristian.hartikainen@gmail.com>

* Fix items from review comments.

* Add dm_tree to RLlib dependencies.

* Add dm_tree to RLlib dependencies.

* Fix DQN test cases ((Torch)Categorical).

* Fix wrong pip install.

Co-authored-by: Eric Liang <ekhliang@gmail.com>
Co-authored-by: Kristian Hartikainen <kristian.hartikainen@gmail.com>
 2020-03-06 10:37:12 -08:00
Sven Mika
83e06cd30a
[RLlib] DDPG refactor and Exploration API action noise classes. (#7314) 
* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* Fix

* WIP.

* Add TD3 quick Pendulum regresison.

* Cleanup.

* Fix.

* LINT.

* Fix.

* Sort quick_learning test cases, add TD3.

* Sort quick_learning test cases, add TD3.

* Revert test_checkpoint_restore.py (debugging) changes.

* Fix old soft_q settings in documentation and test configs.

* More doc fixes.

* Fix test case.

* Fix test case.

* Lower test load.

* WIP.
 2020-03-01 11:53:35 -08:00
Eric Liang
3c6b94f3f5
[rllib] Enable performance metrics reporting for RLlib pipelines, add A3C (#7299) 2020-02-28 16:44:17 -08:00
Eric Liang
58073f7260
[rllib] Fix multiagent example crash due to undefined abstract method (#7329) 
* fix multiagent example

* 0 workers
 2020-02-26 22:54:40 -08:00
Sven Mika
e1fc8368d4
[RLlib] SAC refactor with new SquashedGaussian distribution class. (#7272) 2020-02-23 16:10:20 -08:00
Sven Mika
0db2046b0a
[RLlib] Policy.compute_log_likelihoods() and SAC refactor. (issue #7107) (#7124) 
* Exploration API (+EpsilonGreedy sub-class).

* Exploration API (+EpsilonGreedy sub-class).

* Cleanup/LINT.

* Add `deterministic` to generic Trainer config (NOTE: this is still ignored by most Agents).

* Add `error` option to deprecation_warning().

* WIP.

* Bug fix: Get exploration-info for tf framework.
Bug fix: Properly deprecate some DQN config keys.

* WIP.

* LINT.

* WIP.

* Split PerWorkerEpsilonGreedy out of EpsilonGreedy.
Docstrings.

* Fix bug in sampler.py in case Policy has self.exploration = None

* Update rllib/agents/dqn/dqn.py

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

* WIP.

* Update rllib/agents/trainer.py

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

* WIP.

* Change requests.

* LINT

* In tune/utils/util.py::deep_update() Only keep deep_updat'ing if both original and value are dicts. If value is not a dict, set

* Completely obsolete syn_replay_optimizer.py's parameters schedule_max_timesteps AND beta_annealing_fraction (replaced with prioritized_replay_beta_annealing_timesteps).

* Update rllib/evaluation/worker_set.py

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

* Review fixes.

* Fix default value for DQN's exploration spec.

* LINT

* Fix recursion bug (wrong parent c'tor).

* Do not pass timestep to get_exploration_info.

* Update tf_policy.py

* Fix some remaining issues with test cases and remove more deprecated DQN/APEX exploration configs.

* Bug fix tf-action-dist

* DDPG incompatibility bug fix with new DQN exploration handling (which is imported by DDPG).

* Switch off exploration when getting action probs from off-policy-estimator's policy.

* LINT

* Fix test_checkpoint_restore.py.

* Deprecate all SAC exploration (unused) configs.

* Properly use `model.last_output()` everywhere. Instead of `model._last_output`.

* WIP.

* Take out set_epsilon from multi-agent-env test (not needed, decays anyway).

* WIP.

* Trigger re-test (flaky checkpoint-restore test).

* WIP.

* WIP.

* Add test case for deterministic action sampling in PPO.

* bug fix.

* Added deterministic test cases for different Agents.

* Fix problem with TupleActions in dynamic-tf-policy.

* Separate supported_spaces tests so they can be run separately for easier debugging.

* LINT.

* Fix autoregressive_action_dist.py test case.

* Re-test.

* Fix.

* Remove duplicate py_test rule from bazel.

* LINT.

* WIP.

* WIP.

* SAC fix.

* SAC fix.

* WIP.

* WIP.

* WIP.

* FIX 2 examples tests.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* Fix.

* LINT.

* Renamed test file.

* WIP.

* Add unittest.main.

* Make action_dist_class mandatory.

* fix

* FIX.

* WIP.

* WIP.

* Fix.

* Fix.

* Fix explorations test case (contextlib cannot find its own nullcontext??).

* Force torch to be installed for QMIX.

* LINT.

* Fix determine_tests_to_run.py.

* Fix determine_tests_to_run.py.

* WIP

* Add Random exploration component to tests (fixed issue with "static-graph randomness" via py_function).

* Add Random exploration component to tests (fixed issue with "static-graph randomness" via py_function).

* Rename some stuff.

* Rename some stuff.

* WIP.

* WIP.

* Fix SAC.

* Fix SAC.

* Fix strange tf-error in ray core tests.

* Fix strange ray-core tf-error in test_memory_scheduling test case.

* Fix test_io.py.

* LINT.

* Update SAC yaml files' config.

Co-authored-by: Eric Liang <ekhliang@gmail.com>
 2020-02-22 14:19:49 -08:00
Sven Mika
e2edca45d4
[RLlib] PPO torch memory leak and unnecessary torch.Tensor creation and gc'ing. (#7238) 
* Take out stats to analyze memory leak in torch PPO.

* WIP

* WIP

* WIP

* WIP

* WIP

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* WIP.

* LINT.

* Fix determine_tests_to_run.py.

* minor change to re-test after determine_tests_to_run.py.

* LINT.

* update comments.

* WIP

* WIP

* WIP

* FIX.

* Fix sequence_mask being dependent on torch being installed.

* Fix strange ray-core tf-error in test_memory_scheduling test case.

* Fix strange ray-core tf-error in test_memory_scheduling test case.

* Fix strange ray-core tf-error in test_memory_scheduling test case.

* Fix strange ray-core tf-error in test_memory_scheduling test case.
 2020-02-22 11:02:31 -08:00
Eric Liang
46af992efd
[rllib] [experimental] custom RL training pipelines (PG_pl, A2C_pl) (#7213) 2020-02-19 16:07:37 -08:00
Sven Mika
d537e9f0d8
[RLlib] Exploration API: merge deterministic flag with exploration classes (SoftQ and StochasticSampling). (#7155) 2020-02-19 12:18:45 -08:00
Sven Mika
2e60f0d4d8
[RLlib] Move all jenkins RLlib-tests into bazel (rllib/BUILD). (#7178) 
* commit

* comment
 2020-02-15 14:50:44 -08:00