What Does POMDP Stand For?

POMDP stands for Partially Observable Markov Decision Process

A Partially Observable Markov Decision Process (POMDP) is a mathematical framework used for modeling decision-making problems where an agent must make a sequence of choices under uncertainty. In POMDPs, the agent has limited observability of the environment's state, and thus relies on observations that provide partial information. This framework incorporates states, actions, transition dynamics, rewards, and a belief state, which represents the agent's knowledge about the underlying state. POMDPs are widely used in fields such as robotics, artificial intelligence, and operations research for developing optimal policies that guide decision-making in complex, uncertain environments.