Commit graph

68 commits

Author SHA1 Message Date
Sven Mika
839fc59224
[RLlib] CQL TensorFlow support (#15841) 2021-05-18 11:10:46 +02:00
Sven Mika
e973b726c2
[RLlib] Support native tf.keras.Models (part 2) - Default keras models for Vision/RNN/Attention. (#15273) 2021-04-30 19:26:30 +02:00
Sven Mika
bb8a286cbc
[RLlib] Support native tf.keras.Model (milestone toward obsoleting ModelV2 class). (#14684) 2021-04-27 10:44:54 +02:00
Sven Mika
41968512ca
[RLlib] Partial GPU examples (for learner and workers). (#15334) 2021-04-20 08:46:05 +02:00
Sven Mika
9c5a0cfd7a
[RLlib] Issue 14385: Policy.compute_actions_from_input_dict does not properly track accessed fields for Policy's view requirements. (#14386) 2021-04-11 18:20:04 +02:00
Sven Mika
95686a8fdd
[RLlib] Issue 14533: Tf-eager properly use tree.map_struct on value of type Repeated (RLlib-specific space) (#15015) 2021-03-30 19:28:45 +02:00
Sven Mika
4f66309e19
[RLlib] Redo issue 14533 tf enable eager exec (#14984) 2021-03-29 20:07:44 +02:00
SangBin Cho
fa5f961d5e
Revert "[RLlib] Issue 14533: tf.enable_eager_execution() must be called at beginning. (#14737)" (#14918)
This reverts commit 3e389d5812.
2021-03-25 00:42:01 -07:00
mvindiola1
5e350ceaa2
[RLlib] Issue 14119: Fix TD3 policy delay for torch. (#14840) 2021-03-24 16:26:22 +01:00
Sven Mika
3e389d5812
[RLlib] Issue 14533: tf.enable_eager_execution() must be called at beginning. (#14737) 2021-03-24 12:54:27 +01:00
Sven Mika
04bc0a9828
[RLlib] Remove all non-trajectory view API code. (#14860) 2021-03-23 09:50:18 -07:00
Sven Mika
69202c6a7d
[RLlib] Obsolete usage tracking dict via sample batch. (#13065) 2021-03-17 08:18:15 +01:00
Sven Mika
8000258333
[RLlib] R2D2 Implementation. (#13933) 2021-02-25 12:18:11 +01:00
Sven Mika
eb0038612f
[RLlib] Extend on_learn_on_batch callback to allow for custom metrics to be added. (#13584) 2021-02-08 15:02:19 +01:00
Sven Mika
0a0d9183fe
[RLlib] Trajectory view API example script (enhancements and tf2 support). (#13786) 2021-02-02 18:42:18 +01:00
Sven Mika
1f00f834ac
[RLlib] Solve PyTorch/TF-eager A3C async race condition between calling model and its value function. (#13467) 2021-01-18 10:29:03 -08:00
Sven Mika
391cdfae8c
[RLlib] Trajectory view API docs. (#12718) 2020-12-30 17:32:21 -08:00
Sven Mika
d5604eaba3
[RLlib] Attention nets PyTorch support and cleanup (using traj. view API). (#12029) 2020-12-21 18:38:34 -08:00
Sven Mika
b2bcab711d
[RLlib] Attention Nets: tf (#12753) 2020-12-20 20:22:32 -05:00
Sven Mika
a082ea18b8
[RLlib] Issue 12212: "TFEagerPolicy has no attribute action_sampler_fn. 2020-12-11 12:57:33 +01:00
Sven Mika
28108c905b
[RLlib] Tf-eager policy bug fix: Duplicate model call in compute_gradients. (#12682) 2020-12-09 08:03:58 +01:00
Sven Mika
99c81c6795
[RLlib] Attention Net prep PR #3. (#12450) 2020-12-07 13:08:17 +01:00
Sven Mika
19c8033df2
[RLlib] Fix most remaining RLlib algos for running with trajectory view API. (#12366)
* 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 and fixes.
MB-MPO and MAML not working yet.

* wip

* update

* update

* rmeove

* remove dep

* higher

* Update requirements_rllib.txt

* Update requirements_rllib.txt

* relpos

* no mbmpo

Co-authored-by: Eric Liang <ekhliang@gmail.com>
2020-12-01 17:41:10 -08:00
Sven Mika
fb318addcb
[RLlib] Curiosity exploration module: tf/tf2.x/tf-eager support. (#11945) 2020-11-29 12:31:24 +01:00
Sven Mika
6da4342822
[RLlib] Add on_learn_on_batch (Policy) callback to DefaultCallbacks. (#12070) 2020-11-18 15:39:23 +01:00
Sven Mika
62c7ab5182
[RLlib] Trajectory view API: Enable by default for PPO, IMPALA, PG, A3C (tf and torch). (#11747) 2020-11-12 16:27:34 +01:00
Sven Mika
5b788ccb13
[RLlib] Trajectory view API (prep PR for switching on by default across all RLlib; plumbing only) (#11717) 2020-11-03 12:53:34 -08:00
Sven Mika
54d85a6c2a
[RLlib] Fix RNN learning for tf-eager/tf2.x. (#11720) 2020-11-02 11:18:41 +01:00
Sven Mika
8ea1bc5ff9
[RLlib] Allow for more than 2^31 policy timesteps. (#11301) 2020-10-12 13:49:11 -07:00
Sven Mika
ce96b03b07
[RLlib] MB-MPO cleanup (comments, docstrings, type annotations). (#11033) 2020-10-06 20:28:16 +02:00
Sven Mika
c17169dc11
[RLlib] Fix all example scripts to run on GPUs. (#11105) 2020-10-02 23:07:44 +02:00
Barak Michener
8e76796fd0
ci: Redo format.sh --all script & backfill lint fixes (#9956) 2020-08-07 16:49:49 -07:00
Sven Mika
fcdf410ae1
[RLlib] Tf2.x native. (#8752) 2020-07-11 22:06:35 +02:00
Sven Mika
01125b8fcf
[RLlib] DQN rainbow eager-mode (keras style NoisyLayer) (preparation for native tf2.x support). (#9304) 2020-07-09 10:44:10 +02:00
Sven Mika
4da0e542d5
[RLlib] DDPG and SAC eager support (preparation for tf2.x) (#9204) 2020-07-08 16:12:20 +02:00
Sven Mika
43043ee4d5
[RLlib] Tf2x preparation; part 2 (upgrading try_import_tf()). (#9136)
* WIP.

* Fixes.

* LINT.

* WIP.

* WIP.

* Fixes.

* Fixes.

* Fixes.

* Fixes.

* WIP.

* Fixes.

* Test

* Fix.

* Fixes and LINT.

* Fixes and LINT.

* LINT.
2020-06-30 10:13:20 +02:00
Sven Mika
4fd8977eaf
[RLlib] Minor cleanup in preparation to tf2.x support. (#9130)
* WIP.

* Fixes.

* LINT.

* Fixes.

* Fixes and LINT.

* WIP.
2020-06-25 19:01:32 +02:00
Sven Mika
25c0974543
[RLlib] Issue 8412 (Adam vars not stored in ModelV2). (#8480) 2020-06-05 21:07:02 +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
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
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
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
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
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
e4bd5db4d8
[RLlib] Minimal ParamNoise PR. (#7772) 2020-03-28 16:16:30 -07:00
Sven Mika
1138f2ebed
[RLlib] Issue 7046 cannot restore keras model from h5 file. (#7482) 2020-03-23 12:19:30 -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
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