Is there any plan to support Random Ensemble Mixture(REM) variant of DQN . It helps for robust offline training and results are much better compared to other variants of DQN.
@itsmesaisatish Thanks for the issue. Currently, I'm focusing on publishing the journal paper about this library. Once we get it published, we'll start adding new algorithms again.
Is there any plan to support Random Ensemble Mixture(REM) variant of DQN . It helps for robust offline training and results are much better compared to other variants of DQN.
Please refer Google Deepmind's paper with code for reference - https://arxiv.org/abs/1907.04543v4
Regards, Sai