Author

Donglin Zhan

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#machine learning Conference Open access Feb 2025

Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning

A coreset-based task selection approach that selects a weighted subset of tasks based on how diverse they are in gradient space, prioritizing the most informative and diverse tasks is proposed, guaranteeing a faster adaptation to unseen tasks while focusing training on the most relevant tasks.

Dong-Lin Zhan, L. F. Toso, James Anderson · IEEE Conference on Decision... · 7 citations

#artificial intelligence Preprint Aug 2026

Spec2Twin-Chain: Orchestrating Bi-Level Optimization with LLMs for Blockchain Digital Twin Construction

Spec2Twin-Chain is considered, a framework that formulates blockchain digital-twin construction as a bi-level optimization problem and can construct behaviorally accurate twins, improve initial designs through iterative feedback, and reuse calibrated twins to support downstream decisions.

Hao-Ting Zhang, Haoxian Chen, Jiayuan Sheng et al. · 0 citations