Improving RL through Demonstrations

Many learning (Sherstan et al., 2020) methods such as reinforcement learning suffers from a slow beginning especially in complicated domains.

The motivation of transfer learning is to use limited prior knowledge to help learning agents bootstrap at the start and thus achieve overall improvements on learning performance. Due to limited quantity or quality of prior knowledge, how to make the transfer more efficient and effective remains an interesting point.

More details on project.