每年專案
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, 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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網路
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Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization
Lin, J. L., Hung, W., Yang, S. H., Hsieh, P-C. & Liu, X., 27 7月 2021, p. 397-407. 11 p.研究成果: Paper › 同行評審
1 引文 斯高帕斯（Scopus） -
NeurWIN: Neural Whittle Index Network for Restless Bandits Via Deep RL
Nakhleh, K., Ganji, S., Hsieh, P. C., Hou, I. H. & Shakkottai, S., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (編輯). Neural information processing systems foundation, p. 828-839 12 p. (Advances in Neural Information Processing Systems; 卷 2).研究成果: Conference contribution › 同行評審
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NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL
Nakhleh, K., Ganji, S., Hsieh, P-C., Hou, I. H. & Shakkottai, S., 12月 2021, Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems. p. 1-20 20 p.研究成果: Conference contribution › 同行評審
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Optimal wireless scheduling for remote sensing through Brownian approximation
Guo, D., Hsieh, P-C. & Hou, I. H., 10 5月 2021, INFOCOM 2021 - IEEE Conference on Computer Communications. Institute of Electrical and Electronics Engineers Inc., 10 p. 9488785. (Proceedings - IEEE INFOCOM; 卷 2021-May).研究成果: Conference contribution › 同行評審
1 引文 斯高帕斯（Scopus） -
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization
Hsieh, B. J., Hsieh, P. C. & Liu, X., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (編輯). Neural information processing systems foundation, p. 7718-7731 14 p. (Advances in Neural Information Processing Systems; 卷 10).研究成果: Conference contribution › 同行評審