Improving deep reinforcement learning with advanced exploration and transfer learning techniques

• 主要作者: Yin, Haiyan
• 其他作者: Pan Jialin, Sinno
• 格式: Thesis-Doctor of Philosophy
• 語言: English
• 出版: Nanyang Technological University 2020
• 主題: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• 在線閱讀: https://hdl.handle.net/10356/137772

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...