5 citations · 9 across the 4 of their papers we have counts for
3 papers · 1 filter
Leveraging Reinforcement Learning Techniques for Effective Policy Adoption and Validation
Nikki Lijing Kuang, Clement H. C. Leung
Rewards and punishments in different forms are pervasive and present in a wide variety of decision-making scenarios. By observing the outcome of a sufficient number of repeated tri…
Performance Dynamics and Termination Errors in Reinforcement Learning: A Unifying Perspective
Nikki Lijing Kuang, Clement H. C. Leung
In reinforcement learning, a decision needs to be made at some point as to whether it is worthwhile to carry on with the learning process or to terminate it. In many such situation…
Stochastic Reinforcement Learning
Nikki Lijing Kuang, Clement H. C. Leung, Vienne W. K. Sung
In reinforcement learning episodes, the rewards and punishments are often non-deterministic, and there are invariably stochastic elements governing the underlying situation. Such s…