Making reinforcement learning more data-efficient

• 主要作者: Cao, Jeffery Siming
• 其他作者: Tan Yap Peng
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2021
• 主題: Engineering::Electrical and electronic engineering
• 在線閱讀: https://hdl.handle.net/10356/149413
• 機構: 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...