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387 commits

Author SHA1 Message Date
Sven Mika
6d196197bc
[RLlib] utils/spaces ... (#8608) 2020-05-27 10:21:30 +02:00
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
d76578700d
[RLlib] Policy.compute_single_action() broken for nested actions (Issue 8411). (#8514) 2020-05-20 22:29:08 +02:00
Sven Mika
c9435cad43
WIP. (#8456) 
Fix multi-GPU histogram metrics for > 0D tensors.
 2020-05-15 21:43:27 +02:00
Sven Mika
754290daad
[RLlib] Add light-weight Trainer.compute_action() tests for all Algos. (#8356) 2020-05-08 16:31:31 +02:00
Sven Mika
d7eaacb5fe
[RLlib] Issue 8319 DDPG (MA or num_envs_per_worker > 1) broken. (#8324) 2020-05-08 08:26:32 +02:00
Sven Mika
5f278c6411
[RLlib] Examples folder restructuring (models) part 1 (#8353) 2020-05-08 08:20:18 +02:00
Sven Mika
6c2b9a4cfa
[RLlib] Remove tf.py_function from all Schedule classes (not differentiable and causes other bugs in MA setups). (#8304) 
Remove tf.py_function from all Schedule classes (not differentiable and causes other bugs in MA setups). (#8304)
 2020-05-04 23:53:38 +02:00
Sven Mika
a00144f746
[RLlib] Fix issue 8135 (DDPG inf actions when using [-inf,inf] action space). (#8302) 2020-05-04 22:27:30 +02:00
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
76e1a4df9e
Fix TD3 torch via GaussianNoise torch bug. (#8276) 2020-05-02 08:12:21 +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
7ec2223c84
[RLlib] DDPG PyTorch actor-model was missing sigmoid layer (#8188) 
Fix DDPG PyTorch (missing sigmoid layer (to squash action outputs) after deterministic action outputs).
 2020-04-26 23:08:13 +02:00
Eric Liang
2298f6fb40
[rllib] Port DQN/Ape-X to training workflow api (#8077) 2020-04-23 12:39:19 -07:00
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
Eric Liang
0c80efa2a3
[rllib] Disable explicit free, which is no longer needed and causes memory leaks 2020-04-16 16:06:58 -07:00
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
428516056a
[RLlib] SAC Torch (incl. Atari learning) (#7984) 
* Policy-classes cleanup and torch/tf unification.
- Make Policy abstract.
- Add `action_dist` to call to `extra_action_out_fn` (necessary for PPO torch).
- Move some methods and vars to base Policy
  (from TFPolicy): num_state_tensors, ACTION_PROB, ACTION_LOGP and some more.

* Fix `clip_action` import from Policy (should probably be moved into utils altogether).

* - Move `is_recurrent()` and `num_state_tensors()` into TFPolicy (from DynamicTFPolicy).
- Add config to all Policy c'tor calls (as 3rd arg after obs and action spaces).

* Add `config` to c'tor call to TFPolicy.

* Add missing `config` to c'tor call to TFPolicy in marvil_policy.py.

* Fix test_rollout_worker.py::MockPolicy and BadPolicy classes (Policy base class is now abstract).

* Fix LINT errors in Policy classes.

* Implement StatefulPolicy abstract methods in test cases: test_multi_agent_env.py.

* policy.py LINT errors.

* Create a simple TestPolicy to sub-class from when testing Policies (reduces code in some test cases).

* policy.py
- Remove abstractmethod from `apply_gradients` and `compute_gradients` (these are not required iff `learn_on_batch` implemented).
- Fix docstring of `num_state_tensors`.

* Make QMIX torch Policy a child of TorchPolicy (instead of Policy).

* QMixPolicy add empty implementations of abstract Policy methods.

* Store Policy's config in self.config in base Policy c'tor.

* - Make only compute_actions in base Policy's an abstractmethod and provide pass
implementation to all other methods if not defined.
- Fix state_batches=None (most Policies don't have internal states).

* Cartpole tf learning.

* Cartpole tf AND torch learning (in ~ same ts).

* Cartpole tf AND torch learning (in ~ same ts). 2

* Cartpole tf (torch syntax-broken) learning (in ~ same ts). 3

* Cartpole tf AND torch learning (in ~ same ts). 4

* Cartpole tf AND torch learning (in ~ same ts). 5

* Cartpole tf AND torch learning (in ~ same ts). 6

* Cartpole tf AND torch learning (in ~ same ts). Pendulum tf learning.

* WIP.

* WIP.

* SAC torch learning Pendulum.

* WIP.

* SAC torch and tf learning Pendulum and Cartpole after cleanup.

* WIP.

* LINT.

* LINT.

* SAC: Move policy.target_model to policy.device as well.

* Fixes and cleanup.

* Fix data-format of tf keras Conv2d layers (broken for some tf-versions which have data_format="channels_first" as default).

* Fixes and LINT.

* Fixes and LINT.

* Fix and LINT.

* WIP.

* Test fixes and LINT.

* Fixes and LINT.

Co-authored-by: Sven Mika <sven@Svens-MacBook-Pro.local>
 2020-04-15 13:25:16 +02:00
Jan Blumenkamp
8e439688fc
Torch sequence_mask now works for tensors on different devices (#7980) 2020-04-15 07:21:51 +02:00
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
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
1d4823c0ec
[RLlib] Add testing framework_iterator. (#7852) 
* Add testing framework_iterator.

* LINT.

* WIP.

* Fix and LINT.

* LINT fix.
 2020-04-03 12:24:25 -07:00
Sven Mika
5537fe13b0
[RLlib] Exploration API: ParamNoise Integration into DQN; working example/test cases. (#7814) 2020-04-03 10:44:25 -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
e356e97eb2
[RLlib] Assert correct policy class being used in Worker. (#7769) 2020-03-30 14:03:29 -07:00
Eric Liang
d6255c3395
Fix build breakage due to soft torch import (#7790) 2020-03-28 19:08:31 -07:00
Sven Mika
e4bd5db4d8
[RLlib] Minimal ParamNoise PR. (#7772) 2020-03-28 16:16:30 -07:00
Eric Liang
9a590ac6a5
[rllib] Fix custom model metrics in multi-device case (#7640) 
* fix example

* add example test

* lin
 2020-03-23 12:40:22 -07:00
Eric Liang
288933ec6b
[rllib] Fix shared metrics context in parallel iterators (#7666) 
* debug

* build

* update

* wip

* wpi

* update

* recurisve sync

* comment

* stream

* fix

* Update .travis.yml
 2020-03-22 14:15:01 -07:00
Sven Mika
2fb219a658
[Ray RLlib] Fix tree import (#7662) 
* Rollback.

* Fix import tree error by adding meaningful error and replacing by tf.nest wherever possible.

* LINT.

* LINT.

* Fix.

* Fix log-likelihood test case failing on travis.
 2020-03-22 13:51:24 -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
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
Eric Liang
a644060daa
[rllib] First pass at pipeline implementation of DQN (#7433) 
* wip iters

* add test

* speed up

* update docs

* document it

* support serial sampling

* add test

* spacing

* annotate it

* update

* rename to pipeline

* comment

* iter2 wip

* update

* update

* context test

* update

* fix

* fix

* a3c pipeline

* doc

* update

* move timer

* comment

* add piepline test

* fix

* clean up

* document

* iter s

* wip dqn

* wip

* wip

* metrics

* metrics rename

* metrics ctx

* wip

* constants

* add todo

* suppport .union

* wip

* support union

* remove prints

* add todo

* remove auto timer

* fix up

* fix pipeline test

* typing

* fix breakage

* remove bad assert

* wip

* fix multiagent example

* fixapply

* update a3c

* remove a2c pl

* 0 workers

* wip

* wip

* share metrics

* wip

* wip

* doc

* fix weight sync and global var updates

* mode

* fix

* fix

* doc

* fix
 2020-03-07 14:47:58 -08:00
Sven Mika
876a1ba5bd
[RLlib] Issue 7421: can't convert cuda tensor to numpy in torch ppo. (#7445) 2020-03-06 12:45:30 -08:00
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
Eric Liang
596b39e36a
[rllib] Make timestep a required arg for exploration classes (#7380) 2020-03-04 13:00:37 -08:00
Eric Liang
0f88444686
[rllib] Support multi-agent training in pipeline impls, add easy flag to enable (#7338) 2020-03-02 15:16:37 -08:00