ray/rllib/contrib/maddpg
gjoliver d81885c1f1
[RLlib] Fix all the CI tests that were broken by is_training and replay buffer changes; re-comment-in the failing RLlib tests (#19809)
* Fix DDPG, since it is based on GenericOffPolicyTrainer.

* Fix QMix, SAC, and MADDPA too.

* Undo QMix change.

* Fix DQN input batch type. Always use SampleBatch.

* apex ddpg should not use replay_buffer_config yet.

* Make eager tf policy to use SampleBatch.

* lint

* LINT.

* Re-enable RLlib broken tests to make sure things work ok now.

* fixes.

Co-authored-by: sven1977 <svenmika1977@gmail.com>
2021-10-28 18:06:47 +02:00
..
__init__.py Remove future imports (#6724) 2020-01-09 00:15:48 -08:00
maddpg.py [RLlib] Fix all the CI tests that were broken by is_training and replay buffer changes; re-comment-in the failing RLlib tests (#19809) 2021-10-28 18:06:47 +02:00
maddpg_policy.py [RLlib] Unify all RLlib Trainer.train() -> results[info][learner][policy ID][learner_stats] and add structure tests. (#18879) 2021-09-30 16:39:05 +02:00
README.md [RLlib] Update MADDPG example repo to maintained fork (#6831) 2020-01-18 13:08:27 -08:00

Implementation of MADDPG in RLLib

Please check justinkterry/maddpg-rllib for more information.