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World Value Functions: Knowledge Representation for Learning and Planning. (arXiv:2206.11940v1 [cs.AI])
June 27, 2022, 1:10 a.m. | Geraud Nangue Tasse, Benjamin Rosman, Steven James
cs.LG updates on arXiv.org arxiv.org
We propose world value functions (WVFs), a type of goal-oriented general
value function that represents how to solve not just a given task, but any
other goal-reaching task in an agent's environment. This is achieved by
equipping an agent with an internal goal space defined as all the world states
where it experiences a terminal transition. The agent can then modify the
standard task rewards to define its own reward function, which provably drives
it to learn how to achieve …
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