Decision-Making for Autonomous Systems

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Learn effectivetactics for making keydecisionswhen working with autonomous, self-driving vehicles.

SKU: ChalmersX+ChM014x Categories: , , ,

Description

Type: course

Organisation:ChalmersX: Chalmers University of Technology

Subjects:Data Analysis & Statistics,Math,Engineering

Course Length (Hrs): 90

Language: English

Full Description:

In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles.

This course will teach you the fundamental mathematical model for many of these real-world problems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems.

This course is aimed at learners with a bachelor’s degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems.

Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.