Sven Mika and GitHub
78dfed2683
[RLlib] Issue 8384: QMIX doesn't learn anything. ( #9527 )
2020-07-17 12:14:34 +02:00
Sven Mika and GitHub
935d8308fb
[RLlib] Issue #9437 (PyTorch converts to CPU tensor, even if on GPU). ( #9497 )
2020-07-16 14:55:50 +02:00
Sven Mika and GitHub
617eb8f279
[RLlib] Issue 9402 MARWIL producing nan rewards. ( #9429 )
2020-07-14 05:07:16 +02:00
Sven Mika and GitHub
14160ca58c
[RLlib] Issue #9366 (DQN w/o dueling produces invalid actions). ( #9386 )
2020-07-10 12:43:03 +02:00
1425cdf834
Pettingzoo environment support ( #9271 )
...
* added pettingzoo wrapper env and example
* added docs, examples for pettingzoo env support
* fixed pettingzoo env flake8, added test
* fixed pettingzoo env import
* fixed pettingzoo env import
* fixed pettingzoo import issue
* fixed pettingzoo test
* fixed linting problem
* fixed bad quotes
* future proofed pettingzoo dependency
* fixed ray init in pettingzoo env
* lint
* manual lint
Co-authored-by: Eric Liang <ekhliang@gmail.com >
2020-07-06 21:32:26 -07:00
Sven Mika and GitHub
f43d934817
[RLlib] Type annotations for policy. ( #9248 )
2020-07-05 13:09:51 +02:00
Michael Luo and GitHub
851d02463b
[Doc] RLlib Algorithms Documentation: MAML + PyTorch MAML ( #9189 )
2020-07-03 11:05:15 -07:00
Sven Mika and GitHub
5b2a97597b
[RLlib] Retire try_import_tree (should be installed along with other requirements). ( #9211 )
...
- Retire try_import_tree.
- Stabilize test_supported_multi_agent.py.
2020-07-02 13:06:34 +02:00
Sven Mika and GitHub
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 and GitHub
5c6d5d4ab1
This PR fixes the currently broken lstm_use_prev_action_reward flag for default lstm models (model.use_lstm=True). ( #8970 )
2020-06-27 20:50:01 +02:00
Sven Mika and GitHub
af1203b9df
[RLlib] Issue 8507 (PyTorch does not support custom loss). ( #9142 )
2020-06-26 09:52:22 +02:00
Sven Mika and GitHub
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
cf0894d396
[rllib] MAML Agent ( #8862 )
...
* Halfway done with transferring MAML to new Ray
* MAML Beta Out
* Debugging MAML atm
* Distributed Execution
* Pendulum Mass Working
* All experiments complete
* Cleaned up codebase
* Travis CI
* Travis CI
* Tests
* Merged conflicts
* Fixed variance bug conflict
* Comment resolved
* Apply suggestions from code review
fixed test_maml
* Update rllib/agents/maml/tests/test_maml.py
* asdf
* Fix testing
Co-authored-by: Sven Mika <sven@anyscale.io >
2020-06-23 09:48:23 -07:00
Sven Mika and GitHub
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 and GitHub
7008902cff
[RLlib] Minor rllib.utils cleanup. ( #8932 )
2020-06-16 08:52:20 +02:00
Sven Mika and GitHub
a90cd0fcbb
[RLlib] Unity3d soccer benchmarks ( #8834 )
2020-06-11 14:29:57 +02:00
Sven Mika and GitHub
0ba7472da9
[Testing] Fix LINT/sphinx errors. ( #8874 )
2020-06-10 15:41:59 +02:00
Eric Liang and GitHub
be26a7b1b0
[rllib] Support for complex / variable-length observation spaces ( #8393 )
2020-06-06 12:22:19 +02:00
Sven Mika and GitHub
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 and GitHub
d8a081a185
[RLlib] Unity3D integration (n Unity3D clients vs learning server). ( #8590 )
2020-05-30 22:48:34 +02:00
Sven Mika and GitHub
2746fc0476
[RLlib] Auto-framework, retire use_pytorch in favor of framework=... ( #8520 )
2020-05-27 16:19:13 +02:00
Sven Mika and GitHub
6d196197bc
[RLlib] utils/spaces ... ( #8608 )
2020-05-27 10:21:30 +02:00
Sven Mika and GitHub
0422e9c5a8
[RLlib] Add 2 Transformer learning test cases on StatelessCartPole (PPO and IMPALA). ( #8624 )
2020-05-27 10:19:47 +02:00
Eric Liang and GitHub
9a83908c46
[rllib] Deprecate policy optimizers ( #8345 )
2020-05-21 10:16:18 -07:00
Sven Mika and GitHub
796a834c48
[RLlib] Attention Net integration into ModelV2 and learning RL example. ( #8371 )
2020-05-18 17:26:40 +02:00
Sven Mika and GitHub
5f4c196fed
[RLlib] Make PyTorch Model forward pass faster in vf-case. ( #8422 )
2020-05-14 10:15:50 +02:00
Sven Mika and GitHub
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 and GitHub
9d012626e5
[rllib] Distributed exec workflow for impala ( #8321 )
2020-05-11 20:24:43 -07:00
Sven Mika and GitHub
d946f58fd0
LINT fixes. ( #8370 )
2020-05-08 16:24:20 +02:00
gehring and GitHub
7f14fb577d
[RLlib] Added TransformerXL and "stabilized for RL" variant, GTrXL ( #6470 )
2020-05-08 14:10:23 +02:00
Eric Liang and GitHub
9f04a65922
[rllib] Add PPO+DQN two trainer multiagent workflow example ( #8334 )
2020-05-07 23:40:29 -07:00
Sven Mika and GitHub
d7eaacb5fe
[RLlib] Issue 8319 DDPG (MA or num_envs_per_worker > 1) broken. ( #8324 )
2020-05-08 08:26:32 +02:00
Sven Mika and GitHub
5f278c6411
[RLlib] Examples folder restructuring (models) part 1 ( #8353 )
2020-05-08 08:20:18 +02:00
Eric Liang and GitHub
30db920787
[rllib] Fix centralized critic example to use right policy ( #8341 )
...
* update
* update
2020-05-07 10:47:55 -07:00
Eric Liang and GitHub
f48da50e1c
[rllib] observation function api for multi-agent ( #8236 )
2020-05-04 22:13:49 -07:00
Sven Mika and GitHub
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 and GitHub
bf25aee392
[RLlib] Deprecate all Model(v1) usage. ( #8146 )
...
Deprecate all Model(v1) usage.
2020-04-29 12:12:59 +02:00
Sven Mika and GitHub
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
Eric Liang and GitHub
17e3c545d9
[rllib] Fix truncate episodes mode in central critic example ( #8073 )
2020-04-20 12:58:01 -07:00
roireshef and GitHub
dbcad35022
[RLlib] Added DefaultCallbacks which replaces old callbacks dict interface ( #6972 )
2020-04-16 16:06:42 -07:00
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
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 and GitHub
66df8b8c35
[RLlib] Working/learning example: PPO + torch + LSTM. ( #7797 )
2020-03-31 22:00:28 -07:00
Sven Mika and GitHub
e356e97eb2
[RLlib] Assert correct policy class being used in Worker. ( #7769 )
2020-03-30 14:03:29 -07:00
Eric Liang and GitHub
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 and GitHub
9392cdbf74
[rllib] Add high-performance external application connector ( #7641 )
2020-03-20 12:43:57 -07:00
mehrdadn and GitHub
a0700e2f86
Change /tmp to platform-specific temporary directory ( #7529 )
2020-03-16 18:10:14 -07:00
Eric Liang and GitHub
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 and GitHub
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
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
