Influence of Intelligent Environmental Art based on Reinforcement Learning on the Regionality of Architectural Design
- Resource Type
- Conference
- Authors
- Xi, Fei; Ruan, Xuejun
- Source
- 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC) Electronics and Sustainable Communication Systems (ICESC), 2020 International Conference on. :51-54 Jul, 2020
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Robotics and Control Systems
Signal Processing and Analysis
Art
Buildings
Learning (artificial intelligence)
Machine learning
Databases
Sociology
Conferences
Reinforcement Learning
Data Mining
Intelligent Environmental
Computer Art
Computer Aided Design
- Language
Influence of intelligent environmental art based on reinforcement learning on the regionality of architectural design is studied in this paper. Database technology is a core technology of information system, an important part of modern information science and technology, and the core of the computer data processing and information management system. This paper will adopt the advantages of the intelligent technology to construct the efficient design framework. Reinforcement learning is the process of letting agents learn actions in the environment to then obtain the maximum reward value, while deep reinforcement learning is a learning method that combines the perceptual ability of deep learning with the decision-making ability of the enhanced learning. This paper integrates the novel deep learning model to improve the traditional framework. The experiment results have proven the effectiveness.