World Value Functions: Knowledge Representation for Multitask Reinforcement Learning. (arXiv:2205.08827v1 [cs.LG])

An open problem in artificial intelligence is how to learn and represent
knowledge that is sufficient for a general agent that needs to solve multiple
tasks in a given world. In this work we propose world value functions (WVFs),
which are a type of general value function with mastery of the world - they
represent not only how to solve a given task, but also how to solve any other
goal-reaching task. To achieve this, we equip the agent with …

arxiv knowledge learning reinforcement reinforcement learning representation value