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Decision-Making for Autonomous Systems

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

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瑞典查尔姆斯理工大学
edX
  • 完成时间大约为 6
  • 高级
  • 英语
注:因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Use Markov decision process (MDP) a mathematical framework for modellingdecision-making

Understand and apply reinforcement learning and event-based methods

Model and solve decision-making problems for autonomous systems

课程概况

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.

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