Improving deep reinforcement learning with advanced exploration and transfer learning techniques

• Main Author: Yin, Haiyan
• Other Authors: Pan Jialin, Sinno
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/137772
• Institution: Nanyang Technological University

Deep reinforcement learning utilizes deep neural networks as the function approximator to model the reinforcement learning policy and enables the policy to be trained in an end-to-end manner. When applied to complex real world problems such as video games playing and natural language processing, the...