Nettsider med emneord «Bayesian inference»

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.