Often times in imitation learning (IL), the environment we collect expert demonstrations in
and the environment we want to deploy our learned policy in aren't exactly the same (eg …

In reinforcement learning, especially in sparse-reward domains, many environment steps
are required to observe reward information. In order to increase the frequency of such …