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個人檔案
研究專長
多臂機學習，強化學習，無線網路，貝氏最佳化
教育/學術資格
PhD, 電機工程, Texas A&M University
指紋
查看啟用 Ping-Chun Hsieh 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
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過去五年中的合作和熱門研究領域
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基於深度強化學習與大規模物聯網之即時無線感測(4/4)
Hsieh, P.-C. (PI)
1/09/22 → 31/08/23
研究計畫: Other Government Ministry Institute
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基於深度強化學習與大規模物聯網之即時無線感測(3/4)
Hsieh, P.-C. (PI)
1/09/21 → 30/11/22
研究計畫: Other Government Ministry Institute
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基於深度強化學習與大規模物聯網之即時無線感測(2/4)
Hsieh, P.-C. (PI)
1/09/20 → 30/11/21
研究計畫: Other Government Ministry Institute
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基於深度強化學習與大規模物聯網之即時無線感測(1/4)
Hsieh, P.-C. (PI)
1/09/19 → 30/11/20
研究計畫: Other Government Ministry Institute
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PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping
Huang, N. C., Hsieh, P. C., Ho, K. H. & Wu, I. C., 25 3月 2024, Technical Tracks 14. Wooldridge, M., Dy, J. & Natarajan, S. (編輯). 11 編輯 Association for the Advancement of Artificial Intelligence, p. 12600-12607 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; 卷 38, 編號 11).研究成果: Conference contribution › 同行評審
開啟存取3 引文 斯高帕斯（Scopus） -
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees
Su, H. E., Chen, Y. J., Hsieh, P. C. & Liu, X., 2023, 於: Proceedings of Machine Learning Research. 206, p. 1331-1378 48 p.研究成果: Conference article › 同行評審
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Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization
Lien, Y. H., Hsieh, P. C. & Wang, Y. S., 2023, 於: Proceedings of Machine Learning Research. 202, p. 20939-20949 11 p.研究成果: Conference article › 同行評審
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Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective
Hung, Y. H. & Hsieh, P. C., 27 6月 2023, AAAI-23 Technical Tracks 7. Williams, B., Chen, Y. & Neville, J. (編輯). AAAI press, p. 7944-7952 9 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; 卷 37).研究成果: Conference contribution › 同行評審
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Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games
Ho, K. H., Hsieh, P. C., Lin, C. C., Luo, Y. R., Wang, F.-J. & Wu, I. C., 2023, 於: Proceedings of Machine Learning Research. 222, p. 438-453 16 p.研究成果: Conference article › 同行評審