Application of Machine Learning Methods with Reinforcement in Planning Innovative Projects
摘要
In the paper examines the problem of planning innovative projects taking into account resource limitations and project priorities. This problem belongs to the class of discrete programming problems and to solve it is proposed to use machine learning methods with reinforcement. As part of the study, a model of the environment and reward of an intelligent agent was created. The developed software shows good scalability on a computing cluster.