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  1. Reinforcement learning - Wikipedia

    While supervised learning and unsupervised learning algorithms respectively attempt to discover patterns in labeled and unlabeled data, reinforcement learning involves training an agent …

  2. 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 …

  3. 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.

  4. 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 …

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

    Reinforcement learning is about learning to make decisions. Imagine an agent, which could be anything from a software program to a robot, navigating an environment. This environment …

  6. 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 …

  7. What Is Reinforcement Learning? - Coursera

    Jan 7, 2026 · Reinforcement learning is a type of algorithm for machine learning that allows a robot or other artificial intelligence to solve problems through trial and error in unpredictable …

  8. What is reinforcement learning? | Definition from TechTarget

    Jul 23, 2024 · Reinforcement learning (RL) is a machine learning training method that trains software to make certain desired actions. Reinforcement learning is based on rewarding …

  9. What is Reinforcement Learning? With Examples - Codecademy

    Reinforcement learning (RL) is a machine learning approach where an AI agent learns to make optimal decisions through trial and error, receiving rewards for good actions and penalties for …

  10. 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 …