Sven Mika
14405b90d5
[RLlib] Prototype of a DynaTrainer (for env dynamics learning in upcoming MBMPO algo). ( #8860 )
2020-06-16 09:01:20 +02:00
Sven Mika
7008902cff
[RLlib] Minor rllib.utils cleanup. ( #8932 )
2020-06-16 08:52:20 +02:00
Sven Mika
4ed796a7d6
[RLlib] Add testing Policy.compute_single_action() for all agents. ( #8903 )
2020-06-13 17:51:50 +02:00
Eric Liang
34bae27ac7
[rllib] Flexible multi-agent replay modes and replay_sequence_length ( #8893 )
2020-06-12 20:17:27 -07:00
Sven Mika
25c0974543
[RLlib] Issue 8412 (Adam vars not stored in ModelV2). ( #8480 )
2020-06-05 21:07:02 +02:00
Sven Mika
c74dc58f8b
[RLlib] Fix use_lstm flag for ModelV2 (w/o ModelV1 wrapping) and add it for PyTorch. ( #8734 )
2020-06-05 15:40:30 +02:00
Sven Mika
368088be85
[RLlib] Sample batch docs and cleanup. ( #8778 )
2020-06-04 22:47:32 +02:00
Victor Le
aee01133cd
Fix dict/tuple hybrid action space for tensorflow eager execution ( #8781 )
2020-06-04 13:28:46 -07:00
Sven Mika
d8a081a185
[RLlib] Unity3D integration (n Unity3D clients vs learning server). ( #8590 )
2020-05-30 22:48:34 +02:00
Sven Mika
2746fc0476
[RLlib] Auto-framework, retire use_pytorch in favor of framework=... ( #8520 )
2020-05-27 16:19:13 +02:00
Sven Mika
6d196197bc
[RLlib] utils/spaces ... ( #8608 )
2020-05-27 10:21:30 +02:00
Sven Mika
0422e9c5a8
[RLlib] Add 2 Transformer learning test cases on StatelessCartPole (PPO and IMPALA). ( #8624 )
2020-05-27 10:19:47 +02:00
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
796a834c48
[RLlib] Attention Net integration into ModelV2 and learning RL example. ( #8371 )
2020-05-18 17:26:40 +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
5f278c6411
[RLlib] Examples folder restructuring (models) part 1 ( #8353 )
2020-05-08 08:20:18 +02:00
Eric Liang
f48da50e1c
[rllib] observation function api for multi-agent ( #8236 )
2020-05-04 22:13:49 -07:00
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
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
Tomasz Wrona
b508166419
Copy initial state of an RNN to a CPU before converting it to a NumPy array ( #8097 )
2020-04-25 18:49:09 -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
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
Sven Mika
0a5b6d1f57
[Testing] Do not run any non-RLlib/core tests if only RLLib affected (except wheels). ( #7892 )
...
* Do not run any non-RLlib/core tests if only RLLib affected, except for generating the 2 wheels (OSX and Linux).
* Test noop RLlib change.
* Test noop RLlib change.
* 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.
* Test.
* WIP.
* Add env flag RAY_CI_ONLY_RLLIB_AFFECTED to refrain from testing most ray-core stuff (except wheels) if only RLlib changed.
* Test RLlib-only change.
2020-04-09 14:36:06 -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
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
bb6c675231
[RLlib] Bug fix: Copy is_exploring placeholder for multi-GPU tower generation. ( #7846 )
2020-04-03 10:44:58 -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
e4bd5db4d8
[RLlib] Minimal ParamNoise PR. ( #7772 )
2020-03-28 16:16:30 -07:00
Sven Mika
369a3417c4
[RLlib] Add tf-graph by default when doing Policy.export_model(). ( #7759 )
...
* Rollback.
* WIP.
* WIP.
* Fix.
* LINT.
2020-03-26 22:07:10 -07:00
Sven Mika
1138f2ebed
[RLlib] Issue 7046 cannot restore keras model from h5 file. ( #7482 )
2020-03-23 12:19:30 -07:00
Robert Nishihara
ee8c9ff732
Remove six and cloudpickle from setup.py. ( #7694 )
2020-03-23 11:42:05 -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
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
f08687f550
[RLlib] rllib train crashes when using torch PPO/PG/A2C. ( #7508 )
...
* Fix.
* Rollback.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
* TEST.
2020-03-08 13:03:18 -07:00
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
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
Sven Mika
357232d124
[Core/RLlib] Move log_once from rllib to ray.util. ( #7273 )
...
* Move log_once from rllib to tune.
* Move log_once from rllib to tune.
* LINT.
* Move to ray.util.debug.
2020-02-27 10:40:44 -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
aec03656d5
[RLlib] TupleActions cannot be exported by Policy: Fixes issues 7231 and 5593. #7333
2020-02-26 15:22:54 -08:00
