activity
20242026
most citedDynamic resource matching in manufacturing using deep reinforcement learning

10 citations · 10 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2026

ReOrder-OPD:Reliability-Aware Prompt Ordering for On-Policy Distillation

Ximo Zhu, Ruiqi Liu, Rong Wang +8

On-policy distillation (OPD) applies token-level teacher supervision to student-generated trajectories, but this supervision is not always reliable. Existing methods use local conf…

cs.LG2026

On-Policy Distillation with Curriculum Turn-level Guidance for Multi-turn Agents

Gengsheng Li, Mao Zheng, Mingyang Song +8

Multi-turn agents that plan, invoke tools, and interact with environments offer a promising paradigm for solving complex tasks, yet their capabilities typically rely on very large…

cs.AI2026

Visual-Seeker: Towards Visual-Native Multimodal Agentic Search via Active Visual Reasoning

Zhengbo Zhang, Changtao Miao, Jinbo Su +10

Multimodal large language models (MLLMs) have demonstrated impressive capabilities in many visual tasks, but they often struggle with factual grounding when confronted with complex…

cs.LG2026★ 10 cited

Dynamic resource matching in manufacturing using deep reinforcement learning

Saunak Kumar Panda, Yisha Xiang, Ruiqi Liu

Matching plays an important role in the logical allocation of resources across a wide range of industries. The benefits of matching have been increasingly recognized in manufacturi…

stat.ML2026

Online Statistical Inference of Constant Sample-averaged Q-Learning

Saunak Kumar Panda, Tong Li, Ruiqi Liu +1

Reinforcement learning algorithms have been widely used for decision-making tasks in various domains. However, the performance of these algorithms can be impacted by high variance…

cs.LG2026

R-Diverse: Mitigating Diversity Illusion in Self-Play LLM Training

Gengsheng Li, Jinghan He, Shijie Wang +7

Self-play bootstraps LLM reasoning through an iterative Challenger-Solver loop: the Challenger is trained to generate questions that target the Solver's capabilities, and the Solve…

cs.AI2025

VICoT-Agent: A Vision-Interleaved Chain-of-Thought Framework for Interpretable Multimodal Reasoning and Scalable Remote Sensing Analysis

Chujie Wang, Zhiyuan Luo, Ruiqi Liu +4

The current remote sensing image analysis task is increasingly evolving from traditional object recognition to complex intelligence reasoning, which places higher requirements on t…

cs.IR2025

AskNearby: An LLM-Based Application for Neighborhood Information Retrieval and Personalized Cognitive-Map Recommendations

Luyao Niu, Zhicheng Deng, Boyang Li +3

The "15-minute city" envisions neighborhoods where residents can meet daily needs via a short walk or bike ride. Realizing this vision requires not only physical proximity but also…

cs.LG2024

Asymptotic Analysis of Sample-averaged Q-learning

Saunak Kumar Panda, Ruiqi Liu, Yisha Xiang

Reinforcement learning (RL) has emerged as a key approach for training agents in complex and uncertain environments. Incorporating statistical inference in RL algorithms is essenti…