Deep reinforcement learning - Wikipedia
Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the problem of a computational agent learning to …
A Beginner's Guide to Deep Reinforcement Learning
Jul 23, 2025 · Agents are able to directly learn rules from sensory inputs thanks to DRL, which makes use of deep learning's ability to extract complex features from unstructured data. DRL relies heavily …
Welcome to the Deep Reinforcement Learning Course - Hugging ...
Welcome to the most fascinating topic in Artificial Intelligence: Deep Reinforcement Learning. This course will teach you about Deep Reinforcement Learning from beginner to expert.
[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
A Beginner's Guide to Deep Reinforcement Learning | Pathmind
Deep reinforcement learning combines artificial neural networks with a framework of reinforcement learning that helps software agents learn how to reach their goals. That is, it unites function …
Deep Reinforcement Learning: A Chronological Overview and Methods
Feb 24, 2025 · Introduction: Deep reinforcement learning (deep RL) integrates the principles of reinforcement learning with deep neural networks, enabling agents to excel in diverse tasks ranging …
What Is Deep Reinforcement Learning? - Coursera
Dec 30, 2025 · Deep reinforcement learning is when a computer uses rewards and penalties to learn the next best action to achieve a specific goal. This process allows the computer to learn the same way …