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Yingqian Zhang
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Yingqian Zhang19 visible / 19 total nodes / 63 links

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Related contextRelated contextCo-authorshipCo-authorshipCo-authorshipRelated contextWorks onWorks onCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onAuthorshipWorks onWorks onAuthorshipWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalAuthorshipYingqian ZhangAYingqian ZhangResearcherDiPRL: Learning Discrete Programmatic Policies via Architecture Entropy RegularizationWDiPRL: Learning Discret...preprint / 2026Scheduling That Speaks: An Interpretable Programmatic Reinforcement Learning FrameworkWScheduling That Speaks:...preprint / 2026Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead PredictionWLearning with Foresight...preprint / 2026Chengpeng HuAChengpeng HuResearcherHendrik BaierAHendrik BaierResearcherXia JiangAXia JiangResearcherYaoxin WuAYaoxin WuResearcherYew Soon OngAYew Soon OngResearcherMachine LearningTMachine Learning49008 worksArtificial IntelligenceTArtificial Intelligence22915 worksSymbolic ComputationTSymbolic Computation372 worksA State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement LearningWA State Aggregation App...preprint / 2020Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement LearningWLearning 2-opt Heuristi...preprint / 2020Algorithms for slate bandits with non-separable reward functionsWAlgorithms for slate ba...preprint / 2020Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple ObjectivesWAdversarial Instance Ge...preprint / 2026Solving Weighted Voting Game Design Problems Optimally: Representations, Synthesis, and EnumerationWSolving Weighted Voting...preprint / 2013The First AI4TSP Competition: Learning to Solve Stochastic Routing ProblemsWThe First AI4TSP Compet...preprint / 2022Policies for the Dynamic Traveling Maintainer Problem with AlertsWPolicies for the Dynami...preprint / 2022
Person18 links

Yingqian Zhang

Researcher

PaperDiPRL: Learning Discrete Programmatic Policies via Architecture Entropy RegularizationAuthorship / preprint / 2026PaperScheduling That Speaks: An Interpretable Programmatic Reinforcement Learning FrameworkAuthorship / preprint / 2026PaperLearning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead PredictionAuthorship / preprint / 2026PersonChengpeng HuCo-authorship / ResearcherPersonHendrik BaierCo-authorship / ResearcherPersonXia JiangCo-authorship / ResearcherPersonYaoxin WuCo-authorship / ResearcherPersonYew Soon OngCo-authorship / Researcher

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