DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks

Tongzhou Mu, Minghua Liu, Hao Su

The success of many RL techniques heavily relies on human-engineered dense rewards, which typically demand substantial domain expertise and extensive trial and error. In our work,…