Learning and Reasoning for Robot Sequential Decision Making under Uncertainty

no code implementations • 16 Jan 2019 • Saeid Amiri, Mohammad Shokrolah Shirazi, Shiqi Zhang

The key contribution of this work is a robot SDM framework, called LCORPP, that supports the simultaneous capabilities of supervised learning for passive state estimation, automated reasoning with declarative human knowledge, and planning under uncertainty toward achieving long-term goals.

Decision Making Decision Making Under Uncertainty