Applying interpolation-constrained autoencoders to world models approach reinforcement learning

• المؤلف الرئيسي: Kevin Winata
• مؤلفون آخرون: Zinovi Rabinovich
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2021
• الموضوعات: Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/148004
• المؤسسة: Nanyang Technological University

World Models Approach Reinforcement Learning helps to tackle complex problems by breaking down the learning task to Vision Model, Memory Model, and Controller Model. Variational Autoencoder (VAE) is commonly used for Vision Model. However, there has been development of other variants of Autoencoders...