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Reinforcement Learning Example - Autonomous Vehicles
A good way to understand reinforcement learning would be to think about how autonomous vehicles work. Instead of programming all of the rules it should follow (such as road signs, pedestrians, right of way, etc), it is much more easier and efficient to implement a reward/penalty system where the car learns all of the rules that it is supposed to abide by. Furthermore, it would be unreasonable to program individual rules because accidents can happen in unpredictable ways and rules/regulations are always changing and varies in different parts of the world. So, it is much better for autonomous cars to be always learning better ways to make decisions.
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A reinforcement-learning system can keep adapting after deployment if it continues collecting new experience.
In reinforcement learning, an agent tries to maximize the total _____ it earns over time.
Match each reinforcement learning term to its correct description.
Order the steps for training a warehouse robot with reinforcement learning.
Why can reinforcement learning be harder to set up than supervised learning?
Diagnose a flawed reward design for a warehouse drone docking task.
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Why might a crashed delivery drone receive a large negative reward such as R(T) = -1,000?
True or False: A reward function for teaching a drone to land on a charging pad is usually discovered automatically with no human design.