Showing papers on "Reinforcement learning published in 1965"
48 citations
TL;DR: An approach to the design of adaptive and learning systems for achieving optimal control makes use of decision theory and dynamic programming.
Abstract: This paper presents an approach to the design of adaptive and learning systems for achieving optimal control. The design procedure makes use of decision theory and dynamic programming. The system up-dates the knowledge of the probability density function on the basis of the observed information pattern, The fresh information which is learned during each stage is used in performing the optimization process.
7 citations
TL;DR: Synthesis of learning control systems using statistical decision theory is discussed and several learning schemes, including both parametric and nonparametric approaches, have been proposed.