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Author

Lin-Dong Xie

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Oct 2026

Integrating Large Language Models and Reinforcement Learning for Efficient Home Energy Management

The home energy management system (HEMS) has gained significant attention with the advancement of smart monitoring and Internet of Things (IoT) technologies. Data-driven approaches, particularly reinforcement learning (RL), have shown promise in learning HEMS scheduling policies through environment interaction but ofte...

Yang Zhang, Chong-Yu Wang, Lin-Dong Xie et al. · 0 citations
#artificial intelligence Preprint Sep 2026

LLM-Enhanced Multi-Agent Reinforcement Learning for Unified Electric Vehicles-Charging Station-Grid Optimization in Public Charging Systems

This paper proposes a novel LLM-enhanced MARL framework that, for the first time, simultaneously optimizes the Grid, EVs, and Stations within a unified loop by integrating Large Language Model (LLM).

Yang Zhang, Lin-Dong Xie, Chong-Yu Wang et al. · 0 citations
Jul 2026

From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents

This paper proposes MSCE, a training-free Memory--Skill Co-Evolution framework that organizes agent experience into grounded step traces, reusable procedural policies, and declarative environmental cognition, and introduces reflection-weighted value backfilling.

Bo Tang, Yang Zhang, Guomian Zhuang et al. · 1 citation

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