摘要
1 Introduction.Deep reinforcement learning has achieved great success especially in game[1]and control areas.Unfortunately,for real world environments that involve more than one objectives.For example,an autonomous car should consider constraints such as the driving speed,energy efficiency,comfort and safety of the passengers[2,3].To solve the problems,Constrained Markov Decision Process(CMDP)was proposed to model tasks with constraints[4,5].
基金
supported by the National Natural Science Foundation of China(Grant No.61303108)
Natural Science Foundation of Jiangsu Province(BK20211102)
Suzhou Key Industries Technological Innovation-Prospective Applied Research Project(SYG201804)
A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.
