Decision-making for Autonomous Systems

Datorseende

Intelligenta agenter och multiagentsystem

Maskininlärning

Robotik

Tillämpningar av AI

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This course will teach you the fundamental mathematical model for many real-world problems with autonomous systems. 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.