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Understanding the Basics of Reinforcement Learning #ai #artificialintelligence #machinelearning
Reinforcement learning (RL) can be thought of as a kind of trial and error learning where an AI, known as the agent, learns to make decisions by interacting with its environment. The process involves understanding key components: the agent, the environment, the state, actions, and rewards. Essentially, the agent perceives its state in the ...
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