no code implementations • 30 Oct 2023 • Jialin Liu, Xinyan Su, Zeyu He, Xiangyu Zhao, Jun Li
In this research, we focus on the problem of learning to reward (LTR), which is fundamental to reinforcement learning.
no code implementations • 30 Oct 2023 • Jialin Liu, Xinyan Su, Peng Zhou, Xiangyu Zhao, Jun Li
Mitigation of the survivor bias is achieved though counterfactual consistency.
no code implementations • 28 Jan 2023 • Xinyan Su, Zhiheng Zhang, Jiyan Qiu, Jun Li
The identification of a seed set to maximize information spread in a network is crucial, a concept known as Influence Maximization (IM).