Nettsider med emneord «Bayesian inference»
Publisert 25. sep. 2019 16:50
Reinforcement learning is the problem of learning how to act within an
unknown environment solely through interaction. Rather than knowing
a priori which states of the environment are desirable, a
reinforcement signal is observed, which can be used to evaluate
actions previously taken. However, it is never certain what the actual
environment model is, or whether any given plan would be
optimal. Thus, the environment must be explored continuously in order
to obtain knowledge so as to be able to formulate better plans.