System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey

System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey

Reinforcement learning (RL) has distinguished itself as a prominent learning method to augment the efficacy of autonomous systems. Recent advances in deep learning studies have complemented existing RL methods and led to a crucial breakthrough in the effort of applying RL to automation and robotics....

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Bibliographic Details
Main Authors: Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Deep learning
human-level agents
reinforcement learning
robotics
survey
system design
Online Access:https://ieeexplore.ieee.org/document/8119919/

Internet

https://ieeexplore.ieee.org/document/8119919/

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