Sven Mika
cecfc3b43b
[RLlib] Multi-GPU support for Torch algorithms. ( #14709 )
2021-04-16 09:16:24 +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
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
95ef04b71a
[RLlib] Implement TorchPolicy.export_model. ( #13989 )
2021-02-22 17:09:40 +01:00
Sven Mika
4db86404ad
[RLlib] Issue #13507 : Fix MB-MPO CartPole Env's reward function as well as MB-MPO running into a traj. view API related issue. ( #14037 )
2021-02-11 18:58:46 +01:00
Sven Mika
d7301a51f4
[RLlib]: Trajectory View API: Keep env infos (e.g. for postprocessing callbacks), no matter what. ( #13555 )
2021-02-09 17:05:26 +01:00
Stanislav Chekmenev
b9c15a2551
[RLlib] Issue #13761 : Fix get action shape ( #13764 )
2021-02-02 13:13:43 +01:00
Sven Mika
d49c3fae0b
[RLlib] Trajectory View API: Atari framestacking. ( #13315 )
2021-01-13 08:53:34 +01:00
Sven Mika
a5b39ef8e2
[RLlib] Fix missing "info_batch" arg (None) in compute_actions calls. ( #13237 )
2021-01-07 21:25:02 +01:00
Sven Mika
391cdfae8c
[RLlib] Trajectory view API docs. ( #12718 )
2020-12-30 17:32:21 -08:00
Sven Mika
b2bcab711d
[RLlib] Attention Nets: tf ( #12753 )
2020-12-20 20:22:32 -05:00
Sven Mika
99c81c6795
[RLlib] Attention Net prep PR #3 . ( #12450 )
2020-12-07 13:08:17 +01:00
Sven Mika
3ad9365e1d
[RLlib] Attention Net prep PR #2 : Smaller cleanups. ( #12449 )
2020-12-01 08:21:45 +01:00
Sven Mika
0df55a139c
[RLlib] Attention Net prep PR #1 : Smaller cleanups. ( #12447 )
...
* WIP.
* Fix.
* Fix.
* Fix.
2020-11-27 16:25:47 -08:00
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
36bda8432b
[RLlib] Trajectory view API: Simple List Collector (on by default for PPO); LSTM-agnostic ( #11056 )
2020-10-01 16:57:10 +02:00
Sven Mika
e968b52cb7
[RLlib] Trajectory view API - 03 Fast LSTM + prev actions/rewards ( #9950 )
2020-08-21 12:35:16 +02:00
Sven Mika
2256047876
[RLlib] Rename rllib.utils.types into typing to match built-in python module's name. ( #10114 )
2020-08-15 13:24:22 +02:00
Barak Michener
8e76796fd0
ci: Redo format.sh --all script & backfill lint fixes ( #9956 )
2020-08-07 16:49:49 -07:00
Eric Liang
668f555755
[rllib] Clean up outdated docs #9915
2020-08-06 18:29:04 -07:00
Sven Mika
57690a3a9f
[RLlib] Trajectory view API - 02 actual API scaffold ( #9753 )
2020-08-06 10:54:20 +02:00
Sven Mika
03ab86567f
[RLlib] Layout of Trajectory View API (new class: Trajectory; not used yet). ( #9269 )
2020-07-14 04:27:49 +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
f43d934817
[RLlib] Type annotations for policy. ( #9248 )
2020-07-05 13:09:51 +02:00
Sven Mika
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
0d37103f84
[RLlib] Prototype: Model Trajectory View API, part 0 ( #9171 )
2020-06-30 05:33:19 +02:00
Sven Mika
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
Eric Liang
1e0e1a45e6
[rllib] Add type annotations for evaluation/, env/ packages ( #9003 )
2020-06-19 13:09:05 -07:00
Sven Mika
4ed796a7d6
[RLlib] Add testing Policy.compute_single_action() for all agents. ( #8903 )
2020-06-13 17:51:50 +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
6d196197bc
[RLlib] utils/spaces ... ( #8608 )
2020-05-27 10:21:30 +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
Eric Liang
f48da50e1c
[rllib] observation function api for multi-agent ( #8236 )
2020-05-04 22:13:49 -07:00
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
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
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
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
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
d537e9f0d8
[RLlib] Exploration API: merge deterministic flag with exploration classes (SoftQ and StochasticSampling). ( #7155 )
2020-02-19 12:18:45 -08:00
Sven Mika
6e1c3ea824
[RLlib] Exploration API (+EpsilonGreedy sub-class). ( #6974 )
2020-02-10 15:22:07 -08:00
Eric Liang
2fb53396ad
[rllib] [experimental] Decentralized Distributed PPO for torch (DD-PPO) ( #6918 )
2020-01-25 22:36:43 -08:00
AnanthHari
aa2a0cb6da
Fixes empty state argument in compute_single_action method ( #6894 )
...
* Fixes empty `state` parameter in compute_single_action method
* Fixed style
2020-01-23 00:42:52 -08:00
Sven Mika
c957ed58ed
[RLlib] Implement PPO torch version. ( #6826 )
2020-01-20 23:06:50 -08:00
