Reinforcement Learning from Algorithm Model to Industry Innovation Innovation: A Foundation Stone of Future Artificial Intelligence

作     者：DONG Shaokang CHEN Jiarui LIU Yong BAO Tianyi GAO Yang 

作者机构：State Key Laboratory for Novel Software Technology Nanjing University 

出 版 物：《ZTE Communications》 (中兴通讯技术（英文版）)

年 卷 期：2019年第17卷第3期

页      面：31-41页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：artificial intelligence decision-making and control problems reinforcementlearning 

摘      要：Reinforcement learning(RL)algorithm has been introduced for several decades,which becomes a paradigm in sequential decision-making and *** development of reinforcement learning,especially in recent years,has enabled this algorithm to be applied in many industry fields,such as robotics,medical intelligence,and *** paper first introduces the history and background of reinforcement learning,and then illustrates the industrial application and open source *** that,the successful applications from AlphaGo to AlphaZero and future reinforcement learning technique are focused ***,the artificial intelligence for complex interaction(e.g.,stochastic environment,multiple players,selfish behavior,and distributes optimization)is considered and this paper concludes with the highlight and outlook of future general artificial intelligence.