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  1. Reinforcement Learning - GeeksforGeeks

    Nov 7, 2025 · Reinforcement Learning (RL) is a branch of machine learning that focuses on how agents can learn to make decisions through trial and error to maximize cumulative rewards.

  2. Reinforcement learning - Wikipedia

    In machine learning and optimal control, reinforcement learning (RL) is concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward …

  3. 12 Reinforcement Learning – 6.390 - Intro to Machine Learning

    Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment. Unlike other learning paradigms, RL has several …

  4. What is reinforcement learning? - IBM

    In reinforcement learning, autonomous agents learn to perform a task by trial and error in the absence of any guidance from a human user. 1 It particularly addresses sequential decision …

  5. What is Reinforcement Learning? - Reinforcement Learning

    RL algorithms use a reward-and-punishment paradigm as they process data. They learn from the feedback of each action and self-discover the best processing paths to achieve final …

  6. What is reinforcement learning (RL)? - Google Cloud

    Reinforcement learning can help personalize recommendations by learning from user interactions. By treating clicks, purchases, or watch time as signals, RL algorithms can optimize...

  7. Part 1: Key Concepts in RL — Spinning Up documentation

    Welcome to our introduction to reinforcement learning! Here, we aim to acquaint you with the language and notation used to discuss the subject, a high-level explanation of what RL …

  8. What Is Reinforcement Learning and How It Trains AI

    Apr 25, 2025 · Unlike traditional machine learning models that learn from labeled data, reinforcement learning systems learn from experience. They try actions, observe the …

  9. What is Reinforcement Learning? How Does It Work? - Oracle

    Apr 3, 2024 · Reinforcement learning is a form of machine learning (ML) that lets AI models refine their decision-making process based on positive, neutral, and negative feedback that helps …

  10. Principles of Reinforcement Learning: An Introduction with Python

    Jul 10, 2024 · Reinforcement Learning (RL) is a type of machine learning. It trains an agent to make decisions by interacting with an environment. This article covers the basic concepts of …