We introduce an offline reinforcement learning (RL) algorithm that expli...
We propose a new framework for imitation learning - treating imitation a...
The goal of offline reinforcement learning (RL) is to find an optimal po...
We propose a novel reinforcement learning framework that performs
self-s...
A central goal of meta-learning is to find a learning rule that enables ...
The performance of imitation learning is typically upper-bounded by the
...
A critical flaw of existing inverse reinforcement learning (IRL) methods...
Due to burdensome data requirements, learning from demonstration often f...