Combining PSR theory with distributional reinforcement learning

• Main Author: Zhou, Jingzhe
• Other Authors: Zinovi Rabinovich
• Format: Thesis-Master by Research
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/139946
• Institution: Nanyang Technological University

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...