Improving deep reinforcement learning with advanced exploration and transfer learning techniques

• المؤلف الرئيسي: Yin, Haiyan
• مؤلفون آخرون: Pan Jialin, Sinno
• التنسيق: Thesis-Doctor of Philosophy
• اللغة: English
• منشور في: Nanyang Technological University 2020
• الموضوعات: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• الوصول للمادة أونلاين: 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...