Reinforcement learning
In reinforcement learning, we train agents who take actions in an environment, such as a self-driving car on the road. While we do not have labels, that is, we cannot tell what the correct action is in any situation, we can assign rewards or punishments. For example, we could reward keeping a proper distance from the car in front.
Reinforcement learning
A driving instructor does not tell the student to "push the brake halfway down while moving the steering wheel two degrees to the right," but rather they tell the student whether they are doing well or not, while the student figures out the exact amount of brakes to use.
Reinforcement ...
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