Sven Mika
4d285a00a4
[RLlib] Issue 23689: tf Initializer has hard-coded float32 dtype. ( #23741 )
2022-04-07 21:35:02 +02:00
Sven Mika
0b3a79ca41
[RLlib] Issue 23639: Error in client/server setup when using LSTMs ( #23740 )
2022-04-07 10:16:22 +02:00
Sven Mika
e391b624f0
[RLlib] Re-enable (for CI-testing) our two self_play example scripts. ( #23742 )
2022-04-07 08:20:48 +02:00
Sven Mika
434265edd0
[RLlib] Examples folder: All training_iteration translations. ( #23712 )
2022-04-05 16:33:50 +02:00
Sven Mika
b1cda46681
[RLlib] SlateQ (tf GPU + multi-GPU) + Bandit fixes ( #23276 )
2022-03-18 13:45:16 +01:00
Artur Niederfahrenhorst
37d129a965
[RLlib] ReplayBuffer API: Test cases. ( #22390 )
2022-03-08 16:54:12 +01:00
Artur Niederfahrenhorst
c0ade5f0b7
[RLlib] Issue 22625: MultiAgentBatch.timeslices() does not behave as expected. ( #22657 )
2022-03-08 14:25:48 +01:00
Jiajun Yao
4801e57c77
[Test] Add missing tests to bazel BUILD ( #22827 )
2022-03-07 19:54:49 -08:00
Sven Mika
e50bd212a1
[RLlib] Disable flakey Pendulum-v1 tests (until further investigation). ( #22686 )
2022-03-01 16:44:17 +01:00
Sven Mika
8e00537b65
[RLlib] SlateQ: framework=tf fixes and SlateQ documentation update ( #22543 )
2022-02-23 13:03:45 +01:00
Sven Mika
6522935291
[RLlib] Slate-Q tf implementation and tests/benchmarks. ( #22389 )
2022-02-22 09:36:44 +01:00
Sven Mika
c58cd90619
[RLlib] Enable Bandits to work in batches mode(s) (vector envs + multiple workers + train_batch_sizes > 1). ( #22465 )
2022-02-17 22:32:26 +01:00
Sven Mika
04a5c72ea3
Revert "Revert "[RLlib] Speedup A3C up to 3x (new training_iteration function instead of execution_plan) and re-instate Pong learning test."" ( #18708 )
2022-02-10 13:44:22 +01:00
Alex Wu
b122f093c1
Revert "[RLlib] Speedup A3C up to 3x (new training_iteration function instead of execution_plan) and re-instate Pong learning test." ( #22250 )
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Reverts ray-project/ray#22126
Breaks rllib:tests/test_io
2022-02-09 09:26:36 -08:00
Sven Mika
ac3e6ab411
[RLlib] Speedup A3C up to 3x (new training_iteration function instead of execution_plan) and re-instate Pong learning test. ( #22126 )
2022-02-08 19:04:13 +01:00
Sven Mika
c17a44cdfa
Revert "Revert "[RLlib] AlphaStar: Parallelized, multi-agent/multi-GPU learni…" ( #22153 )
2022-02-08 16:43:00 +01:00
Sven Mika
8b678ddd68
[RLlib] Issue 22036: Client should handle concurrent episodes with one being training_enabled=False. ( #22076 )
2022-02-06 12:35:03 +01:00
Sven Mika
f6617506a2
[RLlib] Add on_sub_environment_created to DefaultCallbacks class. ( #21893 )
2022-02-04 22:22:47 +01:00
Sven Mika
38d75ce058
[RLlib] Cleanup SlateQ algo; add test + add target Q-net ( #21827 )
2022-02-04 17:01:12 +01:00
Avnish Narayan
0d2ba41e41
[RLlib] [CI] Deflake longer running RLlib learning tests for off policy algorithms. Fix seeding issue in TransformedAction Environments ( #21685 )
2022-02-04 14:59:56 +01:00
SangBin Cho
a887763b38
Revert "[RLlib] AlphaStar: Parallelized, multi-agent/multi-GPU learni… ( #22105 )
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This reverts commit 3f03ef8ba8
2022-02-04 00:54:50 -08:00
Sven Mika
3f03ef8ba8
[RLlib] AlphaStar: Parallelized, multi-agent/multi-GPU learning via league-based self-play. ( #21356 )
2022-02-03 09:32:09 +01:00
Jun Gong
9c95b9a5fa
[RLlib] Add an env wrapper so RecSim works with our Bandits agent. ( #22028 )
2022-02-02 12:15:38 +01:00
Jun Gong
a55258eb9c
[RLlib] Move bandit example scripts into examples folder. ( #21949 )
2022-02-02 09:20:47 +01:00
Sven Mika
893536ebd9
[RLlib] Move bandits into main agents folder; Make RecSim adapter more accessible; ( #21773 )
2022-01-27 13:58:12 +01:00
Sven Mika
d5bfb7b7da
[RLlib] Preparatory PR for multi-agent multi-GPU learner (alpha-star style) #03 ( #21652 )
2022-01-25 14:16:58 +01:00
Sven Mika
3ac4daba07
[RLlib] Discussion 4351: Conv2d default filter tests and add default setting for 96x96 image obs space. ( #21560 )
2022-01-13 18:50:42 +01:00
Avnish Narayan
f7a5fc36eb
[rllib] Give rnnsac_stateless cartpole gpu, increase timeout ( #21407 )
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Increase test_preprocessors runtimes.
2022-01-06 11:54:19 -08:00
Sven Mika
9e6b871739
[RLlib] Better utils for flattening complex inputs and enable prev-actions for LSTM/attention for complex action spaces. ( #21330 )
2022-01-05 11:29:44 +01:00
Sven Mika
abd3bef63b
[RLlib] QMIX better defaults + added to CI learning tests ( #21332 )
2022-01-04 08:54:41 +01:00
Sven Mika
daa4304a91
[RLlib] Switch off preprocessors by default for PGTrainer. ( #21008 )
2021-12-13 12:04:23 +01:00
Sven Mika
596c8e2772
[RLlib] Experimental no-flatten option for actions/prev-actions. ( #20918 )
2021-12-11 14:57:58 +01:00
Eric Liang
6f93ea437e
Remove the flaky test tag ( #21006 )
2021-12-11 01:03:17 -08:00
Avnish Narayan
6996eaa986
[RLlib] Add necessary fields to Base Envs, and BaseEnv wrapper classes ( #20832 )
2021-12-09 14:40:40 +01:00
Ishant Mrinal
2868d1a2cf
[RLlib] Support for RE3 exploration algorithm (for tf) ( #19551 )
2021-12-07 13:26:34 +01:00
Sven Mika
60b2219d72
[RLlib] Allow for evaluation to run by timesteps (alternative to episodes) and add auto-setting to make sure train doesn't ever have to wait for eval (e.g. long episodes) to finish. ( #20757 )
2021-12-04 13:26:33 +01:00
Jun Gong
65bd8e29f8
[RLlib] Update a few things to get rid of the remote_vector_env deprecation warning. ( #20753 )
2021-12-02 13:10:44 +01:00
mvindiola1
8cee0c03bf
[RLlib] Update max_seq_len in pad_batch_to_sequences_of_same_size ( #20743 )
2021-11-30 18:00:07 +01:00
Sven Mika
7a585fb275
[RLlib; Documentation] RLlib README overhaul. ( #20249 )
2021-11-18 18:08:40 +01:00
Sven Mika
56619b955e
[RLlib; Documentation] Some docstring cleanups; Rename RemoteVectorEnv into RemoteBaseEnv for clarity. ( #20250 )
2021-11-17 21:40:16 +01:00
Avnish Narayan
dc17f0a241
Add error messages for missing tf and torch imports ( #20205 )
...
Co-authored-by: Sven Mika <sven@anyscale.io>
Co-authored-by: sven1977 <svenmika1977@gmail.com>
2021-11-16 16:30:53 -08:00
Sven Mika
f82880eda1
Revert "Revert [RLlib] POC: Deprecate build_policy (policy template) for torch only; PPOTorchPolicy ( #20061 ) ( #20399 )" ( #20417 )
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This reverts commit 90dc5460d4
2021-11-16 14:49:41 +01:00
Amog Kamsetty
90dc5460d4
Revert "[RLlib] POC: Deprecate build_policy (policy template) for torch only; PPOTorchPolicy ( #20061 )" ( #20399 )
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This reverts commit 5b1c8e46e1
2021-11-15 16:11:35 -08:00
Sven Mika
5b1c8e46e1
[RLlib] POC: Deprecate build_policy (policy template) for torch only; PPOTorchPolicy ( #20061 )
2021-11-15 10:41:54 +01:00
Sven Mika
ebd56b57db
[RLlib; documentation] "RLlib in 60sec" overhaul. ( #20215 )
2021-11-10 22:20:06 +01:00
Sven Mika
143d23a278
[RLlib] Issue 20062: Action inference examples missing ( #20144 )
2021-11-10 18:49:06 +01:00
Sven Mika
76f8a9f125
[RLlib; testing] Increase size of two time-out'ing test cases from medium to large. ( #20128 )
2021-11-06 21:48:28 +01:00
Sven Mika
a931076f59
[RLlib] Tf2 + eager-tracing same speed as framework=tf; Add more test coverage for tf2+tracing. ( #19981 )
2021-11-05 16:10:00 +01:00
Sven Mika
4cb23d1c95
[Tune; Testing] Revert to 3.7 (undone by accident by previous PR); + some minor comment cleanups. ( #20031 )
2021-11-04 10:58:34 +01:00
gjoliver
2c1fa459d4
[RLlib] Add an RLlib Tune experiment to UserTest suite. ( #19807 )
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* Add an RLlib Tune experiment to UserTest suite.
* Add ray.init()
* Move example script to example/tune/, so it can be imported as module.
* add __init__.py so our new module will get included in python wheel.
* Add block device to RLlib test instances.
* Reduce disk size a little bit.
* Add metrics reporting
* Allow max of 5 workers to accomodate all the worker tasks.
* revert disk size change.
* Minor updates
* Trigger build
* set max num workers
* Add a compute cfg for autoscaled cpu and gpu nodes.
* use 1gpu instance.
* install tblib for debugging worker crashes.
* Manually upgrade to pytorch 1.9.0
* -y
* torch=1.9.0
* install torch on driver
* Add an RLlib Tune experiment to UserTest suite.
* Add ray.init()
* Move example script to example/tune/, so it can be imported as module.
* add __init__.py so our new module will get included in python wheel.
* Add block device to RLlib test instances.
* Reduce disk size a little bit.
* Add metrics reporting
* Allow max of 5 workers to accomodate all the worker tasks.
* revert disk size change.
* Minor updates
* Trigger build
* set max num workers
* Add a compute cfg for autoscaled cpu and gpu nodes.
* use 1gpu instance.
* install tblib for debugging worker crashes.
* Manually upgrade to pytorch 1.9.0
* -y
* torch=1.9.0
* install torch on driver
* bump timeout
* Write a more informational result dict.
* Revert changes to compute config files that are not used.
* add smoke test
* update
* reduce timeout
* Reduce the # of env per worker to 1.
* Small fix for getting trial_states
* Trigger build
* simply result dict
* lint
* more lint
* fix smoke test
Co-authored-by: Amog Kamsetty <amogkamsetty@yahoo.com>
2021-11-03 17:04:27 -07:00
