Jin Yang

Time-Varying Weights in Multi-Reward Architecture for Deep Reinforcement Learning

2024 · IEEE Transactions on Emerging Topics in Computational Intelligence

Deep Reinforcement Learning (DRL) has recently been focused on extracting more knowledge from the reward signal to improve sample efficiency. The Multi-Reward Architecture (MRA) achieves this by breaking down the original reward function into multiple …

Low-Query Adversarial Sample Generation Strategy for Tibetan Text Classification

2025

In an effort to resolve the problem of diminished covertness arising from frequent inquiries during black-box adversarial assaults on Tibetan text classification models, this academic paper puts forward a creative means of generating adversarial samples …

A generative AI-Enhanced hybrid framework for reliable long-term photovoltaic power forecasting

2026 · Energy and AI

Accurate long-horizon photovoltaic (PV) power forecasting remains constrained by the absence of reliable future meteorological data and the limited adaptability of existing models. To address these challenges, this study proposes an end-to-end forecasting workflow that …