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