Learn effective tactics for making key decisions when working with autonomous, self-driving vehicles.
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What you need before starting this Decision-Making for Autonomous Systems course:
Beginner-Friendly Course!
This course is designed for absolute beginners. No prior knowledge needed.
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Everything you need to know about this online course, from duration to certification
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.
Difficulty Level
Advanced
Prior experience recommended
Subject Category
Data Analysis & Statistics, Math, Engineering, Computer Science
Part of our Data Analysis & Statistics, Math, Engineering, Computer Science curriculum
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Comprehensive Program
Professional training from $200
Pricing may vary. Check the course provider for current promotions and exact pricing.
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