Can we pre-train a generalist agent from a large amount of unlabeled offline trajectories
such that it can be immediately adapted to any new downstream tasks in a zero-shot …

Offline Goal-Conditioned Reinforcement Learning (GCRL) is tasked with learning to achieve
multiple goals in an environment purely from offline datasets using sparse reward functions …

Having explored an environment, intelligent agents should be able to transfer their
knowledge to most downstream tasks within that environment. Referred to as “zero-shot …