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Yi-Ming Zhang

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#machine learning Preprint Sep 2026

DeliveryGym: An RL Environment for Long-Horizon Embodied Agent Planning with Adaptive Curriculum

Executable environments enable LLM agents to learn from the consequences of their actions. For embodied agents, those consequences extend beyond whether the current task succeeds: completing a delivery can consume the time, energy, or money needed for later work. Learning to plan therefore requires environments that pr...

Haoqiang Kang, Yi-Ming Zhang, Yi-Yang Guo et al. · 1 citation

#artificial intelligence Preprint Aug 2026

Hybrid Offline-Online Multi-Agent Decision Transformers for Wireless Resource Management

A hybrid offline-online multi-agent reinforcement learning framework based on decision transformers that incorporates return-weighted sampling, a critic conditioned on neighbors' actions, and neighborhood-correlated exploration that achieves quality-of-service (QoS) performance comparable to centralized methods.

Yi-Ming Zhang, Kun Yang, Cong Shen et al. · 0 citations