Making reinforcement learning more data-efficient

• Main Author: Cao, Jeffery Siming
• Other Authors: Tan Yap Peng
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/149413
• Institution: Nanyang Technological University

Recently, researchers showed that applying deep neural networks to Reinforcement Learning (RL) can improve the agent’s ability to learn action policies directly from high dimensional input states. However, there are still several challenges present when applying these algorithms to real world...