gjoliver
99a0088233
[RLlib] Unify the way we create local replay buffer for all agents ( #19627 )
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* [RLlib] Unify the way we create and use LocalReplayBuffer for all the agents.
This change
1. Get rid of the try...except clause when we call execution_plan(),
and get rid of the Deprecation warning as a result.
2. Fix the execution_plan() call in Trainer._try_recover() too.
3. Most importantly, makes it much easier to create and use different types
of local replay buffers for all our agents.
E.g., allow us to easily create a reservoir sampling replay buffer for
APPO agent for Riot in the near future.
* Introduce explicit configuration for replay buffer types.
* Fix is_training key error.
* actually deprecate buffer_size field.
2021-10-26 20:56:02 +02:00
gjoliver
89fbfc00f8
[RLlib] Some minor cleanups (buffer buffer_size -> capacity and others). ( #19623 )
2021-10-25 09:42:39 +02:00
gjoliver
808b683f81
[RLlib] Add a unittest for learning rate schedule used with APEX agent. ( #18389 )
2021-09-08 23:29:40 +02:00
Sven Mika
4888d7c9af
[RLlib] Replay buffers: Add config option to store contents in checkpoints. ( #17999 )
2021-08-31 12:21:49 +02:00
Sven Mika
5a313ba3d6
[RLlib] Refactor: All tf static graph code should reside inside Policy class. ( #17169 )
2021-07-20 14:58:13 -04:00
Sven Mika
732197e23a
[RLlib] Multi-GPU for tf-DQN/PG/A2C. ( #13393 )
2021-03-08 15:41:27 +01:00
Sven Mika
8000258333
[RLlib] R2D2 Implementation. ( #13933 )
2021-02-25 12:18:11 +01:00
Sven Mika
775e685531
[RLlib] Issue #13824 : compress_observations=True crashes for all algos not using a replay buffer. ( #14034 )
2021-02-18 21:36:32 +01:00
Sven Mika
19c8033df2
[RLlib] Fix most remaining RLlib algos for running with trajectory view API. ( #12366 )
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* 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
b6b54f1c81
[RLlib] Trajectory view API: enable by default for SAC, DDPG, DQN, SimpleQ ( #11827 )
2020-11-16 10:54:35 -08:00
desktable
4ccfd07a61
[RLlib] Add docstrings for agents/dqn ( #10710 )
2020-09-15 12:37:07 +02:00
desktable
799318d7d7
[RLlib] Add type annotations for agents/dqn ( #10626 )
2020-09-09 18:55:26 +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
2746fc0476
[RLlib] Auto-framework, retire use_pytorch in favor of framework=... ( #8520 )
2020-05-27 16:19:13 +02:00
Eric Liang
9a83908c46
[rllib] Deprecate policy optimizers ( #8345 )
2020-05-21 10:16:18 -07:00
Eric Liang
b14cc16616
[rllib] Enable functional execution workflow API by default ( #8221 )
2020-05-05 12:36:42 -07:00
Sven Mika
22ccc43670
[RLlib] DQN torch version. ( #7597 )
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* 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
