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This is a community-created glossary. Contributions are welcomed!
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### Agent
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An agent learns to **make decisions by trial and error, with rewards and punishments from the surroundings**.
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### Environment
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An environment is a simulated world **where an agent can learn by interacting with it**.
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### Markov Property
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It implies that the action taken by our agent is **conditional solely on the present state and independent of the past states and actions**.
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