Year: 2021
Type: preprint
Abstract: In this paper, we introduce an imagine network that can simulate itself through artificial association networks. Association, deduction, and memory networks are learned, and a network is created by combining the discriminator and reinforcement learning models. This model can learn various datasets or data samples generated in environments and generate new data samples.
Source: arXiv (Cornell University)
Authors: Kim, Seokjun, Jang, Jaeeun, Kim, Hyeoncheol
Institutions: Korea University, Korea University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4310659289