Zhang Hongyin

DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning

Offline reinforcement learning algorithms promise to be applicable in settings where a fixed dataset is available and no new experience can be acquired. However, such formulation is inevitably offline-data-hungry and, in practice, collecting a large offline dataset for one specific task over one spe…