Tze-Yun Leong

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 …

Causal Policy Learning in Reinforcement Learning: Backdoor-Adjusted Soft Actor-Critic

2025 · arXiv (Cornell University)

Hidden confounders that influence both states and actions can bias policy learning in reinforcement learning (RL), leading to suboptimal or non-generalizable behavior. Most RL algorithms ignore this issue, learning policies from observational trajectories based solely …