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Ping-Chun Hsieh
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Ping-Chun Hsieh11 visible / 11 total nodes / 29 links

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onAuthorshipWorks onWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalAuthorshipPing-Chun HsiehAPing-Chun HsiehResearcherPlan2Cleanse: Test-Time Backdoor Defense via Monte-Carlo Planning in Deep Reinforcement LearningWPlan2Cleanse: Test-Time...preprint / 2026Zhi-Yi ChinAZhi-Yi ChinResearcherChi-Yu LiAChi-Yu LiResearcherSze-Ann ChenASze-Ann ChenResearcherKui-Yuan ChenAKui-Yuan ChenResearcherMachine LearningTMachine Learning49008 worksReward-Biased Maximum Likelihood Estimation for Neural Contextual BanditsWReward-Biased Maximum L...preprint / 2022Neural PPO-Clip Attains Global Optimality: A Hinge Loss PerspectiveWNeural PPO-Clip Attains...preprint / 2022NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RLWNeurWIN: Neural Whittle...preprint / 2022Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement LearningWDeveloping Multi-Task R...preprint / 2020
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Ping-Chun Hsieh

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PaperPlan2Cleanse: Test-Time Backdoor Defense via Monte-Carlo Planning in Deep Reinforcement LearningAuthorship / preprint / 2026PersonZhi-Yi ChinCo-authorship / ResearcherPersonChi-Yu LiCo-authorship / ResearcherPersonSze-Ann ChenCo-authorship / ResearcherPersonKui-Yuan ChenCo-authorship / ResearcherTopicMachine LearningWorks on / 49008 worksPaperReward-Biased Maximum Likelihood Estimation for Neural Contextual BanditsAuthorship / preprint / 2022PaperNeural PPO-Clip Attains Global Optimality: A Hinge Loss PerspectiveAuthorship / preprint / 2022

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