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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.LG2026

Enhancing Reinforcement Learning Fine-Tuning with an Online Refiner

Hao Ma, Zhiqiang Pu, Yang Liu +1

Constraints are essential for stabilizing reinforcement learning fine-tuning (RFT) and preventing degenerate outputs, yet they inherently conflict with the optimization objective b…

cs.LG2026

Efficient Soft Actor-Critic with LLM-Based Action-Level Guidance for Continuous Control

Hao Ma, Zhiqiang Pu, Xiaolin Ai +1

We present GuidedSAC, a novel reinforcement learning (RL) algorithm that facilitates efficient exploration in vast state-action spaces. GuidedSAC leverages large language models (L…