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.
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 …
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 …
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 …
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 …
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...
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 …
What Is Reinforcement Learning? - Coursera
Sep 26, 2024 · 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 …
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 …
What is Reinforcement Learning in AI/ML Workloads?
Feb 14, 2025 · Reinforcement learning (RL) is a machine learning paradigm where an agent learns to make decisions by interacting with an environment and receiving rewards or …