LS
Laixi Shi
cs.LGcs.AIstat.MLcs.MAmath.STstat.THcs.ITmath.ITcs.CLcs.CV
On Valency
published · living versionsW_jpuzn244·v1 · currentpublished
Ask to Learn: Query-Based Collaborative Reinforcement Learning
with Kaicheng Zhang, Hongqian Niu, Didong Li, Guannan Qu +1
1 version
Preprints & journals
32 papers in the corpus · 2017–2026Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis2609.40361v1 · Tian Xia, Minghao Liu, Yiqing Liang et al.2026 · 0 citationsarXiv
Geometry-Preserving Orthonormal Initialization for Low-Rank Adaptation in RLVR2606.31813v1 · Ruijia Zhang, Jiacheng Zhu, Hanqing Zhu et al.2026 · 0 citationsarXiv
MAS-PromptBench: When Does Prompt Optimization Improve Multi-Agent LLM Systems?2606.23664v1 · Juyang Bai, Laixi Shi2026 · 0 citationsarXiv
T2S-MPC: Time-Embedded Online Adaptive Model Predictive Control for Time-Varying Dynamics2605.24852v1 · Zeyu Shen, Zhuoyuan Wang, Laixi Shi2026 · 0 citationsarXiv
Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation2605.03125v2 · Jingchu Gai, Laixi Shi2026 · 0 citationsarXiv
Lessons Learned from the 2025 Agentic AI for Science Hackathon10.26434/chemrxiv.15001345/v1 · Jaehyung Lee, Harichandana Neralla, Charles Rhys Campbell et al.2026 · 0 citationsChemRxiv
Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization2602.11351v2 · Yihang Yao, Zhepeng Cen, Haohong Lin et al.2026 · 0 citationsarXiv
Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity2602.03794v1 · Yingxuan Yang, Chengrui Qu, Muning Wen et al.2026 · 1 citationarXiv
SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer2509.18648v4 · Yarden As, Chengrui Qu, Benjamin Unger et al.2025 · 0 citationsarXiv
MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning2505.24871v2 · Yiqing Liang, Jielin Qiu, Wenhao Ding et al.2025 · 0 citationsarXiv
KL-regularization Itself is Differentially Private in Bandits and RLHF2505.18407v2 · Yizhou Zhang, Kishan Panaganti, Laixi Shi et al.2025 · 0 citationsarXiv
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning2502.19652v1 · Shangding Gu, Laixi Shi, Muning Wen et al.2025 · 1 citationarXiv
Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization2411.07591v1 · Chenbei Lu, Laixi Shi, Zaiwei Chen et al.2024 · 3 citationsarXiv
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data2411.03810v1 · Chengrui Qu, Laixi Shi, Kishan Panaganti et al.2024 · 0 citationsarXiv
Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning2409.20067v3 · Laixi Shi, Jingchu Gai, Eric Mazumdar et al.2024 · 0 citationsarXiv
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning2407.10967v2 · Haohong Lin, Wenhao Ding, Jian Chen et al.2024 · 0 citationsarXiv
Distributionally Robust Constrained Reinforcement Learning under Strong Duality2406.15788v1 · Zhengfei Zhang, Kishan Panaganti, Laixi Shi et al.2024 · 0 citationsarXiv
Tractable Equilibrium Computation in Markov Games through Risk Aversion2406.14156v2 · Eric Mazumdar, Kishan Panaganti, Laixi Shi2024 · 0 citationsarXiv
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation2405.20860v1 · Shangding Gu, Laixi Shi, Yuhao Ding et al.2024 · 0 citationsarXiv
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty2404.18909v3 · Laixi Shi, Eric Mazumdar, Yuejie Chi et al.2024 · 0 citationsarXiv
Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes2403.12946v2 · He Wang, Laixi Shi, Yuejie Chi2024 · 0 citationsarXiv
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices2402.05876v1 · Jiin Woo, Laixi Shi, Gauri Joshi et al.2024 · 0 citationsarXiv
Offline Reinforcement Learning with On-Policy Q-Function Regularization2307.13824v1 · Laixi Shi, Robert Dadashi, Yuejie Chi et al.2023 · 5 citationsarXiv
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation2307.07907v2 · Wenhao Ding, Laixi Shi, Yuejie Chi et al.2023 · 7 citationsarXiv
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model2305.16589v3 · Laixi Shi, Gen Li, Yuting Wei et al.2023 · 3 citationsarXiv
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation2210.10195v1 · Peide Huang, Mengdi Xu, Jiacheng Zhu et al.2022 · 13 citations36th Conference on Neural Information Processing Systems (NeurIPS 2022)
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity2208.05767v4 · Laixi Shi, Yuejie Chi2022 · 9 citationsarXiv
Settling the Sample Complexity of Model-Based Offline Reinforcement Learning2204.05275v4 · Gen Li, Laixi Shi, Yuxin Chen et al.2022 · 24 citationsAnnals of Statistics, vol. 52, no. 1, pp. 233-260, 2024
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity2202.13890v2 · Laixi Shi, Gen Li, Yuting Wei et al.2022 · 17 citationsarXiv
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning2110.04645v2 · Gen Li, Laixi Shi, Yuxin Chen et al.2021 · 13 citationsarXiv
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently1911.11167v3 · Laixi Shi, Yuejie Chi2019 · 17 citationsarXiv
Micro Hand Gesture Recognition System Using Ultrasonic Active Sensing1712.00216v3 · Yu Sang, Laixi Shi, Yimin Liu2017 · 86 citationsIEEE.Access. 6(2018)49339-49347
Career total: 49 works. 32 are in this corpus.
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