4 papers
Reinforcement Learning with Expert Trajectory For Quantitative Trading
Sihang Chen, Weiqi Luo, Chao Yu
In recent years, quantitative investment methods combined with artificial intelligence have attracted more and more attention from investors and researchers. Existing related metho…
Reinforcement Learning in Healthcare: A Survey
Chao Yu, Jiming Liu, Shamim Nemati
As a subfield of machine learning, reinforcement learning (RL) aims at empowering one's capabilities in behavioural decision making by using interaction experience with the world a…
Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning
Chao Yu, Tianpei Yang, Wenxuan Zhu +2
Providing reinforcement learning agents with informationally rich human knowledge can dramatically improve various aspects of learning. Prior work has developed different kinds of…
The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control
Chao Yu
Achieving coordination is crucial in organizational control. This paper investigates a middle ground solution between decentralized interactions and centralized administrations for…