Guy Jacob
a1a2e67fbd
logging screen output to file ( #479 )
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Co-authored-by: Gal Leibovich <gal.leibovich@intel.com >
2021-05-06 18:02:27 +03:00
shadiendrawis
6ca91b9090
add reset internal state to rollout worker ( #421 )
2019-11-03 14:42:51 +02:00
Zach Dwiel
7b0fccb041
Add RedisDataStore ( #295 )
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* GraphManager.set_session also sets self.sess
* make sure that GraphManager.fetch_from_worker uses training phase
* remove unnecessary phase setting in training worker
* reorganize rollout worker
* provide default name to GlobalVariableSaver.__init__ since it isn't really used anyway
* allow dividing TrainingSteps and EnvironmentSteps
* add timestamps to the log
* added redis data store
* conflict merge fix
2019-08-28 21:15:58 +03:00
Ajay Deshpande
33dc29ee99
Uploading checkpoint if crd provided ( #191 )
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* Uploading checkpoint if crd provided
* Changing the calculation of total steps because of a recent change in core_types
Fixes #195
2019-04-26 12:27:33 -07:00
Ajay Deshpande
2c1a9dbf20
Adding framework for multinode tests ( #149 )
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* Currently runs CartPole_ClippedPPO and Mujoco_ClippedPPO with inverted_pendulum level.
2019-02-26 13:53:12 -08:00
Gal Novik
fc6604c09c
added missing license headers
2018-11-27 22:43:40 +02:00
Balaji Subramaniam
d06197f663
Add documentation on distributed Coach. ( #158 )
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* Added documentation on distributed Coach.
2018-11-27 12:26:15 +02:00
Ajay Deshpande
4a6c404070
Adding worker logs and plumbed task_parameters to distributed coach ( #130 )
2018-11-23 15:35:11 -08:00
Gal Leibovich
d4d06aaea6
remove kubernetes dependency ( #117 )
2018-11-18 18:10:22 +02:00
Ajay Deshpande
875d6ef017
Adding target reward and target sucess ( #58 )
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* Adding target reward
* Adding target successs
* Addressing comments
* Using custom_reward_threshold and target_success_rate
* Adding exit message
* Moving success rate to environment
* Making target_success_rate optional
2018-11-12 15:03:43 -08:00
Balaji Subramaniam
7e7006305a
Integrate coach.py params with distributed Coach. ( #42 )
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* Integrate coach.py params with distributed Coach.
* Minor improvements
- Use enums instead of constants.
- Reduce code duplication.
- Ask experiment name with timeout.
2018-11-05 09:33:30 -08:00
Ajay Deshpande
9a30c26469
Adding improvements
2018-10-23 19:59:02 -04:00
Balaji Subramaniam
ca9015d8b1
Make NFS work end-to-end.
2018-10-23 16:55:37 -04:00
Ajay Deshpande
fb1039fcb5
Checkpoint and evaluation optimizations
2018-10-23 16:55:37 -04:00
Ajay Deshpande
b285a02023
Adding parameteres, checking transitions before training
2018-10-23 16:55:37 -04:00
Balaji Subramaniam
844a5af831
Make distributed coach work end-to-end.
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- With data store, memory backend and orchestrator interfaces.
2018-10-23 16:54:43 -04:00
Ajay Deshpande
6b2de6ba6d
Adding initial interface for backend and redis pubsub ( #19 )
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* Adding initial interface for backend and redis pubsub
* Addressing comments, adding super in all memories
* Removing distributed experience replay
2018-10-23 16:51:48 -04:00
Zach Dwiel
cd733b2404
add support for running kubernetes orchestrator from behind proxy
2018-10-23 16:51:48 -04:00
Ajay Deshpande
98850464cc
Adding nfs pv, pvc, waiting for memory to be full
2018-10-23 16:50:48 -04:00
Ajay Deshpande
28926bf2a4
Changing parameters
2018-10-23 16:47:46 -04:00
Ajay Deshpande
ce9838a7d6
Adding kubernetes orchestrator for rollouts, adding requirements for incremental docker builds
2018-10-23 16:46:04 -04:00
