Deep Reinforcement Learning: An Overview [chapter]

Seyed Sajad Mousavi, Michael Schukat, Enda Howley
2017 Lecture Notes in Networks and Systems  
In recent years, a specific machine learning method called deep learning has gained huge attraction, as it has obtained astonishing results in broad applications such as pattern recognition, speech recognition, computer vision, and natural language processing. Recent research has also been shown that deep learning techniques can be combined with reinforcement learning methods to learn useful representations for the problems with high dimensional raw data input. This chapter reviews the recent
more » ... vances in deep reinforcement learning with a focus on the most used deep architectures such as autoencoders, convolutional neural networks and recurrent neural networks which have successfully been come together with the reinforcement learning framework.
doi:10.1007/978-3-319-56991-8_32 fatcat:hyphl437obfqpfkphppc5bku3y