Augmenting decision with hypothesis in reinforcement learning

• المؤلفون الرئيسيون: NGUYEN, Minh Quang, LAUW, Hady Wirawan
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2024
• الموضوعات: Reinforcement learning; Augmented decision-making; Machine learning agent; Incremental learning; Artificial Intelligence and Robotics; Computer Sciences
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/9842; https://ink.library.smu.edu.sg/context/sis_research/article/10842/viewcontent/icml24.pdf

Value-based reinforcement learning is the current State-Of-The-Art due to high sampling efficiency. However, our study shows it suffers from low exploitation in early training period and bias sensitiveness. To address these issues, we propose to augment the decision-making process with hypothesis, a...