4 papers · 1 filter
UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection
Yang Zhao, Kai Xiong, Xiao Ding +9
Scaling RL for LLMs is computationally expensive, largely due to multi-sampling for policy optimization and evaluation, making efficient data selection crucial. Inspired by the Zon…
SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation
Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu +2
Survival analysis (SA) models have been widely studied in mining electronic health records (EHRs), particularly in forecasting the risk of critical conditions for prioritizing high…
ELEMENT: Episodic and Lifelong Exploration via Maximum Entropy
Hongming Li, Shujian Yu, Bin Liu +1
This paper proposes \emph{Episodic and Lifelong Exploration via Maximum ENTropy} (ELEMENT), a novel, multiscale, intrinsically motivated reinforcement learning (RL) framework that…
Boolean Product Graph Neural Networks
Ziyan Wang, Bin Liu, Ling Xiang
Graph Neural Networks (GNNs) have recently achieved significant success, with a key operation involving the aggregation of information from neighboring nodes. Substantial researche…