Commit graph

15 commits

Author SHA1 Message Date
Sven Mika
96693055bd
[RLlib] More Trainer -> Algorithm renaming cleanups. (#25869) 2022-06-20 15:54:00 +02:00
Sven Mika
130b7eeaba
[RLlib] Trainer to Algorithm renaming. (#25539) 2022-06-11 15:10:39 +02:00
Sven Mika
7c39aa5fac
[RLlib] Trainer.training_iteration -> Trainer.training_step; Iterations vs reportings: Clarification of terms. (#25076) 2022-06-10 17:09:18 +02:00
Sven Mika
b5bc2b93c3
[RLlib] Move all remaining algos into algorithms directory. (#25366) 2022-06-04 07:35:24 +02:00
Artur Niederfahrenhorst
d76ef9add5
[RLLib] Fix RNNSAC example failing on CI + fixes for recurrent models for other Q Learning Algos. (#24923) 2022-05-24 14:39:43 +02:00
Steven Morad
501d932449
[RLlib] SAC, RNNSAC, and CQL TrainerConfig objects (#25059) 2022-05-22 19:58:47 +02:00
kourosh hakhamaneshi
3815e52a61
[RLlib] Agents to algos: DQN w/o Apex and R2D2, DDPG/TD3, SAC, SlateQ, QMIX, PG, Bandits (#24896) 2022-05-19 18:30:42 +02:00
Artur Niederfahrenhorst
fb2915d26a
[RLlib] Replay Buffer API and Ape-X. (#24506) 2022-05-17 13:43:49 +02:00
Sven Mika
f066180ed5
[RLlib] Deprecate timesteps_per_iteration config key (in favor of min_[sample|train]_timesteps_per_reporting. (#24372) 2022-05-02 12:51:14 +02:00
Balaji Veeramani
7f1bacc7dc
[CI] Format Python code with Black (#21975)
See #21316 and #21311 for the motivation behind these changes.
2022-01-29 18:41:57 -08:00
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
Avnish Narayan
026bf01071
[RLlib] Upgrade gym version to 0.21 and deprecate pendulum-v0. (#19535)
* Fix QMix, SAC, and MADDPA too.

* Unpin gym and deprecate pendulum v0

Many tests in rllib depended on pendulum v0,
however in gym 0.21, pendulum v0 was deprecated
in favor of pendulum v1. This may change reward
thresholds, so will have to potentially rerun
all of the pendulum v1 benchmarks, or use another
environment in favor. The same applies to frozen
lake v0 and frozen lake v1

Lastly, all of the RLlib tests and have
been moved to python 3.7

* Add gym installation based on python version.

Pin python<= 3.6 to gym 0.19 due to install
issues with atari roms in gym 0.20

* Reformatting

* Fixing tests

* Move atari-py install conditional to req.txt

* migrate to new ale install method

* Fix QMix, SAC, and MADDPA too.

* Unpin gym and deprecate pendulum v0

Many tests in rllib depended on pendulum v0,
however in gym 0.21, pendulum v0 was deprecated
in favor of pendulum v1. This may change reward
thresholds, so will have to potentially rerun
all of the pendulum v1 benchmarks, or use another
environment in favor. The same applies to frozen
lake v0 and frozen lake v1

Lastly, all of the RLlib tests and have
been moved to python 3.7
* Add gym installation based on python version.

Pin python<= 3.6 to gym 0.19 due to install
issues with atari roms in gym 0.20

Move atari-py install conditional to req.txt

migrate to new ale install method

Make parametric_actions_cartpole return float32 actions/obs

Adding type conversions if obs/actions don't match space

Add utils to make elements match gym space dtypes

Co-authored-by: Jun Gong <jungong@anyscale.com>
Co-authored-by: sven1977 <svenmika1977@gmail.com>
2021-11-03 16:24:00 +01:00
Sven Mika
839fc59224
[RLlib] CQL TensorFlow support (#15841) 2021-05-18 11:10:46 +02:00
Sven Mika
c4a3e1589b
[RLlib] CQL: Bug fixes and OPE example added to test and offline_rl.py example. (#15761) 2021-05-13 09:17:23 +02:00
Michael Luo
4cbe13cdfd
[RLlib] CQL loss fn fixes, MuJoCo + Pendulum benchmarks, offline-RL example script w/ json file. (#15603)
Co-authored-by: Sven Mika <sven@anyscale.io>
Co-authored-by: sven1977 <svenmika1977@gmail.com>
2021-05-04 19:06:19 +02:00