Model-Augmented Q-learning

Youngmin Oh, Jinwoo Shin, Eunho Yang +1

In recent years, $Q$-learning has become indispensable for model-free reinforcement learning (MFRL). However, it suffers from well-known problems such as under- and overestimation…