REM
Random Ensemble Mixture
Random Ensemble Mixture (REM) is an easy to implement extension of [DQN](https://paperswithcode.com/method/dqn) inspired by [Dropout](https://paperswithcode.com/method/dropout). The key intuition behind REM is that if one has access to multiple estimates of Q-values, then a weighted combination of the Q-value estimates is also an estimate for Q-values. Accordingly, in each training step, REM randomly combines multiple Q-value estimates and uses this random combination for robust training.
An Optimistic Perspective on Offline Reinforcement Learning
https://paperswithcode.com/paper/striving-for-simplicity-in-off-policy-deep
An Optimistic Perspective on Offline Reinforcement Learning