most citedHuman-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SY2025

Reinforcement Learning Based Symbolic Regression for Load Modeling

Ding Lin, Han Guo, Jianhui Wang +2

With the increasing penetration of renewable energy sources, growing demand variability, and evolving grid control strategies, accurate and efficient load modeling has become a cri…

eess.SY2025

DALNet: A Denoising Diffusion Probabilistic Model for High-Fidelity Day-Ahead Load Forecasting

Han Guo, Ding Lin

Accurate probabilistic load forecasting is crucial for maintaining the safety and stability of power systems. However, the mainstream approach, multi-step prediction, is hindered b…

cs.NE2024★ 2 cited

Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning

Ke Li, Han Guo

Multi-objective reinforcement learning (MORL) aims to find a set of high-performing and diverse policies that address trade-offs between multiple conflicting objectives. However, i…