强化学习实验教学现状与探究——以新疆大学计算机科学与技术学院为例  

Current Status and Exploration of Reinforcement Learning Experimental Teaching—Taking Xinjiang University’s School of Computer Science and Technology as an Example

作　　者：余银峰[1] 祝美玲 汪烈军[1] 

机构地区：[1]新疆大学计算机科学与技术学院,新疆 乌鲁木齐 [2]乌鲁木齐市第五十九中学,新疆 乌鲁木齐

出　　处：《教育进展》2024年第1期603-608,共6页Advances in Education

摘　　要：强化学习是一门理论性和实践性都很强的课程,实验教学起着重要的作用。本文以新疆大学计算机专业的强化学习课程为例,针对该专业特点,提出以在线Python Notebook为平台,构建适合该专业学生的强化学习课程实验教学内容,并探讨了立体化教学、案例教学、“学研”结合和鼓励学生参加人工智能算法竞赛的实验课程教学方法和手段,对提升课程教学效能具有一定的参考价值。Reinforcement learning is a course that is both theoretical and practical, with experimental teach-ing playing a crucial role. Taking the reinforcement learning course in the computer science pro-gram at Xinjiang University as an example, this article proposes the use of an online Python Note-book platform. It aims to build experimental teaching content suitable for students in this program, considering the characteristics of the major. The article explores three-dimensional teaching, case- based teaching, the integration of learning and research, and encourages students to participate in artificial intelligence algorithm competitions as methods and means for experimental course teaching. This approach has certain reference value for improving the effectiveness of course teaching.

关 键 词：实验教学 策略梯度 强化学习 

分 类 号：G63[文化科学—教育学]