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Connected and Autonomous Vehicles: Computer Vision and AI Unit 5 - Reinforcement Learning

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Unit overview

In this module we will cover a number of different topics, these will include defining the problem of navigating an unknown environment, the basics of reinforcement learning, including key terms and definitions, key learning algorithms including q-learning and then finally we will look at some examples of applications of reinforcement learning to CAV systems.

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Level Technical
Partner Details The Transport Systems Catapult (TSC) is the UK’s technology and innovation centre for Intelligent Mobility. It is a neutral, not-for-profit, Technology and Innovation company which aims to make the UK a world leader in Transport Innovation.
Type Unit
What you will learn
• Understand the challenges that navigating an unknown environment presents and the data that is collected.
• Be able to understand what reinforcement learning is and what makes it different from other AI techniques.
• Be able to recognise the key RL algorithms, understand the basics of how they work and the differences between them.
• Understand how the key RL algorithms can be applied to CAV and why they help to solve the challenges of navigating an unknown environment.
Who should learn
Junior/Senior Engineers, (Civil, Transportation, Computing, Electronic), Mid-level to Senior Management.
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