In the reinforcement learning paradigm, the learning process is a loop in which the agent reads the state of the environment and then executes an action.
Then the environment returns its new state and a reward signal, indicating if the action was correct or not.
The process continues until the environment reaches a terminal condition … Continue reading Types of Machine Learning: Reinforcement Learning →
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