Stochastic Finite State Control of POMDPs with LTL Specifications

no code implementations • 21 Jan 2020 • Mohamadreza Ahmadi, Rangoli Sharan, Joel W. Burdick

Partially observable Markov decision processes (POMDPs) provide a modeling framework for autonomous decision making under uncertainty and imperfect sensing, e. g. robot manipulation and self-driving cars.

Decision Making Decision Making Under Uncertainty +3