Making reinforcement learning more data-efficient

• المؤلف الرئيسي: Cao, Jeffery Siming
• مؤلفون آخرون: Tan Yap Peng
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2021
• الموضوعات: Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/149413

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...