Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding

A partially observable Markov decision process (POMDP) is a mathematical framework for planning and control problems in which actions have stochastic effects an

Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as reinforcement learning prob