Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language. (arXiv:2205.06111v1 [cs.AI])

Web: http://arxiv.org/abs/2205.06111

To solve difficult tasks, humans ask questions to acquire knowledge from
external sources. In contrast, classical reinforcement learning agents lack
such an ability and often resort to exploratory behavior. This is exacerbated
as few present-day environments support querying for knowledge. In order to
study how agents can be taught to query external knowledge via language, we
first introduce two new environments: the grid-world-based Q-BabyAI and the
text-based Q-TextWorld. In addition to physical interactions, an agent can
query an external knowledge …

agents ai arxiv knowledge language rl training