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 through …
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-making problems in …
Our focus is on reinforcement learning methods that involve learning while interacting with the environment, which evolutionary methods do not do (un- less they evolve learning algorithms, as in …
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.
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 distinctive …
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 algorithms do (although …
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 outcomes, and gradually …
What is reinforcement learning (RL)? | Google Cloud
Reinforcement learning: RL, as we've explored, focuses on learning through interaction with an environment and receiving feedback in the form of rewards or penalties; it's like learning by...
What is Reinforcement Learning? | Microsoft Azure
Reinforcement learning is a machine learning method where systems learn by interacting with their environment, receiving feedback, and adjusting behavior to improve decision-making over time. …
[2412.05265] Reinforcement Learning: An Overview - arXiv.org
Dec 6, 2024 · View a PDF of the paper titled Reinforcement Learning: An Overview, by Kevin Murphy