Projects per year
Personal profile
Research Interests
Bandit Learning, Reinforcement Learning, Wireless Networks, and Bayesian Optimization
Education/Academic qualification
PhD, Texas A&M University
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Deep Reinforcement Learning for Real-Time Wireless Sensing in Massive Io
1/09/21 → 30/11/22
Project: Government Ministry › Ministry of Science and Technology
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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)
1/09/22 → 31/08/23
Project: Government Ministry › Ministry of Science and Technology
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Deep Reinforcement Learning for Real-Time Wireless Sensing in Massive IoT
1/09/20 → 30/11/21
Project: Government Ministry › Ministry of Science and Technology
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Deep Reinforcement Learning for Real-Time Wireless Sensing in Massive IoT
1/09/19 → 30/11/20
Project: Government Ministry › Ministry of Science and Technology
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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 Jul 2021, p. 397-407. 11 p.Research output: Contribution to conference › Paper › peer-review
1 Scopus citations -
Optimal wireless scheduling for remote sensing through Brownian approximation
Guo, D., Hsieh, P-C. & Hou, I. H., 10 May 2021, INFOCOM 2021 - IEEE Conference on Computer Communications. Institute of Electrical and Electronics Engineers Inc., 10 p. 9488785. (Proceedings - IEEE INFOCOM; vol. 2021-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Exploration through reward biasing: Reward-biased maximum likelihood estimation for stochastic multi-armed bandits
Liu, X., Hsieh, P. C., Hung, Y. H., Bhattacharya, A. & Kumar, P. R., Jul 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 6204-6214 11 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-8).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
Fresher content or smoother playback? A brownian-approximation framework for scheduling real-time wireless video streams
Hsieh, P-C., Liu, X. & Hou, I. H., 11 Oct 2020, MobiHoc 2020 - Proceedings of the 2020 International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing. Association for Computing Machinery, p. 41-50 10 p. (Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Real-time streaming graph embedding through local actions
Liu, X., Chen, R., Hsieh, P-C., Xie, M., Duffield, N. & Wen, X., 13 May 2019, The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 285-293 9 p. (The Web Conference 2019 - Companion of the World Wide Web Conference, WWW 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
10 Scopus citations