Combining PSR theory with distributional reinforcement learning

• 主要作者: Zhou, Jingzhe
• 其他作者: Zinovi Rabinovich
• 格式: Thesis-Master by Research
• 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/10356/139946

This work focuses on using Distributional Reinforcement Learning (DRL) in a partially observable environment that is modelled via Predictive State Representation Theory (PSR). We aim to integrate the benefits of DRL and PSR to obtain a model-based reinforcement learning method that is capable of prov...