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An Introduction to Deep Reinforcement Learning - 2018

Research Area:  Machine Learning

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.

Author(s) Name:  Vincent Francois-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau

Journal name:  Computer Science

Conferrence name:  

Publisher name:  arXiv:1811.12560

DOI:  10.1561/2200000071

Volume Information: