Michel Aractingi be367f1787 - Added additional logging information in wandb around the timings of the policy loop and optimization loop. ... - Optimized critic design that improves the performance of the learner loop by a factor of 2 - Cleaned the code and fixed style issues - Completed the config with actor_learner_config field that contains host-ip and port elemnts that are necessary for the actor-learner servers. Co-authored-by: Adil Zouitine <adilzouitinegm@gmail.com>		2025-03-24 09:12:56 +00:00
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datasets	Reward classifier and training (#528)	2025-03-24 09:04:12 +00:00
envs	Stable version of rlpd + drq	2025-03-24 09:12:26 +00:00
optim	Remove offline training, refactor `train.py` and logging/checkpointing (#670)	2025-02-11 10:36:06 +01:00
policies	- Added additional logging information in wandb around the timings of the policy loop and optimization loop.	2025-03-24 09:12:56 +00:00
robot_devices	Extend reward classifier for multiple camera views (#626)	2025-03-24 09:10:18 +00:00
utils	Update pre-commits (#733)	2025-02-15 15:51:17 +01:00
constants.py	Remove offline training, refactor `train.py` and logging/checkpointing (#670)	2025-02-11 10:36:06 +01:00
logger.py	FREEDOM, added back the optimization loop code in `learner_server.py`	2025-03-24 09:12:56 +00:00