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.· IEEE Internet of Things Jour...· 0 citations
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
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.· arXiv.org· 1 citation
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