Guaranteed hierarchical reinforcement learning

• Main Author: Ang, Riley Xile
• Other Authors: Arvind Easwaran
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Reinforcement learning; PAC; Hierarchical reinforcement learning; Q-learning
• Online Access: https://hdl.handle.net/10356/175473
• Institution: Nanyang Technological University

Reinforcement learning (RL) is a sub-field of machine learning that aims to train an agent in an interactive environment to sequentially make choices via a process of trial-and-error, to maximize a total reward over time. RL has been studied for decades and has a strong and established theoretica...