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20222026
most citedSelf-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph

1 citations · 1 across the 8 of their papers we have counts for

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cs.AI2025

Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning

Hao Ma, Shijie Wang, Zhiqiang Pu +2

Guiding the policy of multi-agent reinforcement learning to align with human common sense is a difficult problem, largely due to the complexity of modeling common sense as a reward…

cs.LG2025

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning

Jinyuan Feng, Zhiqiang Pu, Tianyi Hu +3

Building mixture-of-experts (MoE) architecture for Low-rank adaptation (LoRA) is emerging as a potential direction in parameter-efficient fine-tuning (PEFT) for its modular design…