Projects per year
Personal profile
Research Interests
Bandit Learning, Reinforcement Learning, Wireless Networks, and Bayesian Optimization
Education/Academic qualification
PhD, Electrical Engineering, Texas A&M University
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 4 Finished
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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
Project: Government Ministry › Other Government Ministry Institute
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Deep Reinforcement Learning for Real-Time Wireless Sensing in Massive Io
Hsieh, P.-C. (PI)
1/09/21 → 30/11/22
Project: Government Ministry › Other Government Ministry Institute
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Deep Reinforcement Learning for Real-Time Wireless Sensing in Massive IoT
Hsieh, P.-C. (PI)
1/09/20 → 30/11/21
Project: Government Ministry › Other Government Ministry Institute
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Deep Reinforcement Learning for Real-Time Wireless Sensing in Massive IoT
Hsieh, P.-C. (PI)
1/09/19 → 30/11/20
Project: Government Ministry › Other Government Ministry Institute
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Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning
Chen, Y. J., Huang, N. C., Lee, C. P. & Hsieh, P. C., 2024, In: Proceedings of Machine Learning Research. 235, p. 6881-6949 69 p.Research output: Contribution to journal › Conference article › peer-review
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Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning
Lien, Y. H., Hsieh, P. C., Li, T. M. & Wang, Y. S., 2024, In: Proceedings of Machine Learning Research. 235, p. 29782-29794 13 p.Research output: Contribution to journal › Conference article › peer-review
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Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion
Wang, K. D., Wang, W. Y., Hsieh, P. C. & Peng, W. C., 2024, Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2024, Proceedings. Bifet, A., Krilavičius, T., Miliou, I. & Nowaczyk, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 348-364 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14950 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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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 Mar 2024, Technical Tracks 14. Wooldridge, M., Dy, J. & Natarajan, S. (eds.). 11 ed. Association for the Advancement of Artificial Intelligence, p. 12600-12607 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 11).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access7 Scopus citations -
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees
Su, H. E., Chen, Y. J., Hsieh, P. C. & Liu, X., 2023, In: Proceedings of Machine Learning Research. 206, p. 1331-1378 48 p.Research output: Contribution to journal › Conference article › peer-review