Pengfei Wei

Adaptive Knowledge Transfer based on Transfer Neural Kernel Network

2020

Transfer agents are widely used in the challenging problems where knowledge is cross-used among different tasks. One popular research approach is to design a transfer kernel that controls the strength of knowledge transfer based on …

Competitive and Cooperative Heterogeneous Deep Reinforcement Learning

2020

Numerous deep reinforcement learning methods have been proposed, including deterministic, stochastic, and evolutionary-based hybrid methods. However, among these various methodologies, there is no clear winner that consistently outperforms the others in every task in terms …

Handling Inter-class and Intra-class Imbalance in Class-imbalanced Learning

2021 · arXiv (Cornell University)

Class-imbalance is a common problem in machine learning practice. Typical Imbalanced Learning (IL) methods balance the data via intuitive class-wise resampling or reweighting. However, previous studies suggest that beyond class-imbalance, intrinsic data difficulty factors like …