Mastering AI: A Deep Dive into Reinforcement Learning
Reinforcement Learning AI AgentReinforcement Learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with its environment. In RL, an agent takes actions in an environment to achieve a goal. The agent's actions are driven by a policy, which is a mapping from states to actions. The agent receives rewards or penalties in the form of positive or negative reinforcement, and its goal is to maximize the total reward.
Use Cases of Reinforcement Learning
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