Leveraging deep generative models for non-parametric distributions in reinforcement learning

• المؤلف الرئيسي: Tang, Shi Yuan
• مؤلفون آخرون: Zhang Jie
• التنسيق: Thesis-Doctor of Philosophy
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: Computer and Information Science
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/173455
• المؤسسة: Nanyang Technological University

This thesis explores the use of deep generative models to enhance distribution representations in reinforcement learning (RL), leading to improved exploration, stability, and performance. It focuses on two roles of distributions in RL: policy distributions and action distributions. For policy distri...