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Tiangang Li

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#machine learning Preprint Sep 2026

HiGFRL: Hierarchical Graph Fusion-Driven Reinforcement Learning for Dependency-Aware Task Scheduling in Heterogeneous Cloud

This work proposes HiGFRL, a Hierarchical Graph Fusion-Driven Reinforcement Learning framework, which designs a fusion-driven dual-network architecture to optimize RL decision-making and incorporates a topology-prior-guided hybrid reward mechanism that distills static topological priors into the learning process to acc...

Tiangang Li, Shi Ying, Xiang-Bo Tian · 0 citations
#machine learning Preprint Sep 2026

MCRL2: Multi-resource Cross-attention-based Representation Learning-augmented Reinforcement Learning for Cloud Microservice Scheduling

This work proposes MCRL2, a novel reinforcement learning approach augmented with multi-resource cross-attention-based representation learning for microservice scheduling that significantly outperforms existing baselines in load balancing, scheduling success rate and average completion time across diverse workload patte...

Tiangang Li, Shi Ying, Xiang-Bo Tian et al. · 0 citations
Jul 2026

HARGO: Heterogeneity-Aware Reward-Guided Optimization for RL Post-Training of LLMs on HPC Tasks

Heterogeneity-Aware Reward-Guided Optimization is proposed, which introduces per-response importance weighting via confidence-modulated advantage: computing a discrimination signal from group-level reward contrast and a confidence signal from reference model log-probabilities, then modulating the advantage before compu...

Tiangang Li, Xiangbo Tian · 0 citations

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