An Introduction to Deep Reinforcement Learning

# An Introduction to Deep Reinforcement Learning > OpenAlex Metadata Hub · https://openalex.org/W3100366369 ## Bibliographic - **DOI:** 10.1561/2200000071 - **Year:** 2018 - **Citations:** 1256 - **Open Access:** Yes (green) - **License:** — - **Source:** https://arxiv.org/pdf/1811.12560 ## Authors - Vincent François-Lavet - Peter Henderson - Riashat Islam - Marc G. Bellemare - Joëlle Pineau ## Abstract Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has been able to solve a wide range of complex decision making tasks that were previously out of reach for a machine. Thus, deep RL opens up many new applications in domains such as healthcare, robotics, smart grids, finance, and many more. This manuscript provides an introduction to deep reinforcement learning models, algorithms and techniques. Particular focus is on the aspects related to generalization and how deep RL can be used for practical applications. We assume the reader is familiar with basic machine learning concepts. ## Keywords Reinforcement learning, Artificial intelligence, Computer science, Deep learning, Generalization, Field (mathematics), Robotics, Machine learning, Robot, Mathematics ## Concepts - Reinforcement learning - Artificial intelligence - Computer science - Deep learning - Generalization - Field (mathematics) - Robotics - Machine learning - Robot - Mathematics - Mathematical analysis - Pure mathematics --- *Metadata only — full text not imported unless Open Access license permits.*

Bài “An Introduction to Deep Reinforcement Learning” được TradingBase chuyển thành Knowledge Product cho trader — không phải trang đọc abstract OpenAlex. Tóm lược học thuật (đã diễn giải): Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has been able to solve a wide range of complex decision making tasks that were previously out of reach for a machine. Thus, deep RL opens up many new applications in domains such as healthcare, robotics, smart grids, finance, and many more. This manuscript provides an introduction to deep reinforcement learning models, algorithms and techniques. Particular focus is on the aspects related to generalization and how deep RL can be used for practical applications. We assume the reader is familiar with basic machine learning concepts. Phần Trading Insights bên dưới nối nghiên cứu với Forex, vàng, USD, lãi suất và risk regime — để bạn đưa vào journal và playbook. Metadata DOI/OA chỉ là rail tham chiếu; nội dung chính là summary, takeaways và ứng dụng thị trường do Content Factory sinh.