c0e4c9d3d1
[rllib] Add magic methods for rollouts ( #2024 )
2018-05-16 22:59:46 -07:00
68bec0f6fb
[rllib] Queue lib for python 2.7 ( #2057 )
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* Queue lib for python 2.7
* use six.moves.queue instead
2018-05-15 15:27:52 -07:00
47bc4c3009
[rllib] Add DDPG documentation, rename DDPG2 <=> DDPG ( #1946 )
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* updates
* updates
* updates
* updates
* updates
* updates
* Update rllib.rst
* Update policy-optimizers.rst
2018-04-30 00:18:15 -07:00
baf97e450b
[rllib] arr[end] was excluded when end is not None ( #1931 )
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Looks good, thanks!
2018-04-22 15:12:55 -07:00
7ab890f4a1
[tune] [rllib] Automatically determine RLlib resources and add queueing mechanism for autoscaling ( #1848 )
2018-04-16 16:58:15 -07:00
15a668dd12
[RLLib] DDPG ( #1685 )
2018-04-11 15:08:39 -07:00
faaa123046
[rllib] Set num_cpu=None for workers in the default settings ( #1793 )
2018-03-29 16:33:40 -07:00
b41bdcefa0
[rllib] Update RLlib to work with new actor scheduling behavior ( #1754 )
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* Mon Mar 19 21:23:01 PDT 2018
* Mon Mar 19 21:23:07 PDT 2018
* Mon Mar 19 21:30:49 PDT 2018
* Mon Mar 19 21:32:05 PDT 2018
* Mon Mar 19 21:35:43 PDT 2018
* fix cpu limits
* Mon Mar 19 22:25:07 PDT 2018
2018-03-20 19:29:52 -07:00
882a649f0c
[rllib] [docs] Cleanup RLlib API and make docs consistent with upcoming blog post ( #1708 )
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* wip
* more work
* fix apex
* docs
* apex doc
* pool comment
* clean up
* make wrap stack pluggable
* Mon Mar 12 21:45:50 PDT 2018
* clean up comment
* table
* Mon Mar 12 22:51:57 PDT 2018
* Mon Mar 12 22:53:05 PDT 2018
* Mon Mar 12 22:55:03 PDT 2018
* Mon Mar 12 22:56:18 PDT 2018
* Mon Mar 12 22:59:54 PDT 2018
* Update apex_optimizer.py
* Update index.rst
* Update README.rst
* Update README.rst
* comments
* Wed Mar 14 19:01:02 PDT 2018
2018-03-15 15:57:31 -07:00
076936a7f5
[rllib] Switch DQN to using deepmind wrappers ( #1655 )
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* deepmind wrap
* use 80x80
* respect custom prep
* fix replay size
* fix chekc
* batch idx
* Wed Mar 7 11:00:39 PST 2018
* random starts and reward clipping
* Fri Mar 9 17:27:17 PST 2018
* Fri Mar 9 17:36:15 PST 2018
* Sat Mar 10 19:47:10 PST 2018
* Sat Mar 10 19:47:37 PST 2018
* Sat Mar 10 20:05:12 PST 2018
* Sat Mar 10 20:54:21 PST 2018
* Sat Mar 10 21:03:52 PST 2018
2018-03-11 21:14:38 -07:00
75e825177f
[rllib] Move Ape-X metrics behind a debug flag and remove some of them ( #1656 )
2018-03-08 00:48:49 -08:00
ecb811c26e
[rllib] Ape-X implementation and DQN refactor to handle replay in policy optimizer ( #1604 )
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* minimal apex checkin
* cleanup dqn options
* actor utils
* Sun Feb 25 17:39:54 PST 2018
* update
* compression refactor
* fix
* add test
* fix models
* Sun Feb 25 21:46:27 PST 2018
* Wed Feb 28 10:26:34 PST 2018
* Wed Feb 28 10:28:09 PST 2018
* Wed Feb 28 10:42:59 PST 2018
* refactor
* Wed Feb 28 11:17:19 PST 2018
* Wed Feb 28 11:42:08 PST 2018
* Wed Feb 28 11:42:13 PST 2018
* Wed Feb 28 11:59:02 PST 2018
* Wed Feb 28 11:59:58 PST 2018
* Wed Feb 28 12:00:08 PST 2018
* Wed Feb 28 12:02:19 PST 2018
* Wed Feb 28 13:44:31 PST 2018
* Wed Feb 28 17:01:20 PST 2018
* Sat Mar 3 14:55:59 PST 2018
* make optimizer construction explicit
* Sat Mar 3 18:23:08 PST 2018
* Sat Mar 3 18:24:28 PST 2018
* Sat Mar 3 18:49:28 PST 2018
* Sat Mar 3 18:50:42 PST 2018
* Sat Mar 3 18:56:10 PST 2018
2018-03-04 12:25:25 -08:00
7e998db656
[rllib] Reduce concat memory usage, allow object store memory to be specified in init ( #1529 )
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* c
* stop agents
* comment
* Sat Feb 10 02:33:30 PST 2018
* Sat Feb 10 02:33:39 PST 2018
* Update sample_batch.py
* Sun Feb 11 14:38:55 PST 2018
* add ppo config warn
2018-02-11 19:14:51 -08:00
4b0ef5eb2c
[rllib] Behavior Cloning ( #1400 )
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* Behavior Cloning
* episode_reward_mean -> mean_loss
* removing vestigial code
* punctuation
* unnecessary
* Behavior Cloning
* Behavior Cloning
* Update __init__.py
2018-01-23 10:50:45 -08:00
3304099cc4
[rllib] Evaluators and Optimizers Refactoring ( #1339 )
2017-12-30 00:24:54 -08:00
22c7c87e14
[rllib] [tune] Custom preprocessors and models, various fixes ( #1372 )
2017-12-28 13:19:04 -08:00
4bb5b6bd5b
[rllib] A3C Configurations ( #1370 )
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* initial introduction of a3c configs
* fix sample batch
* flake but need to check save
* save,resotre
* fix
* pickles
* entropy
* fix
* moving ppo
* results
* jenkins
2017-12-24 12:25:13 -08:00
47b1f02d3e
[rllib] Pull out multi-gpu optimizer as a generic class ( #1313 )
2017-12-17 15:59:57 -08:00
2d543b6e19
[rllib] Refactor DQN to use an Evaluator abstraction ( #1276 )
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This introduces rllib.Evaluator and rllib.Optimizer classes. Optimizers encapsulate a particular distributed optimization strategy for RL. Evaluators encapsulate the model graph, and once implemented, any Optimizer may be "plugged in" to any algorithm that implements the Evaluator interface.
2017-12-06 17:51:57 -08:00
Alok Singh