Research output per year
Research output per year
Project Details
Description
a. To develop a robust reinforcement learning framework that can compute decisions for dynamic decision-making problems under uncertainty with performance guarantee, even when the model and data are not perfectly reflecting the reality; b. To develop algorithms to solve robust reinforcement learning problems with the proposed uncertainty set
| Project number | 9229076 |
|---|---|
| Grant type | DON_RMG |
| Status | Finished |
| Effective start/end date | 1/07/21 → 15/10/25 |
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Research output
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Distributionally Robust Chance Constrained Trajectory Optimization for Mobile Robots within Uncertain Safe Corridor
Xu, S., Ruan, H., Zhang, W., Wang, Y., Zhu, L. & Ho, C. P., 2024, 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, p. 88-94 (Proceedings - IEEE International Conference on Robotics and Automation).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
4 Link opens in a new tab Citations (Scopus) -
Optimal Prescribed-Time Control based Reactive Planning System for Quadruped Robot Navigation
Xu, S., Zhang, W., Ho, C. P. & Zhu, L., 2024, 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, p. 13185-13191 (Proceedings - IEEE International Conference on Robotics and Automation).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Adjustable Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets
Ruan, H., Chen, Z. & Ho, C. P., Sept 2023, In: INFORMS Journal on Computing. 35, 5, p. 1002–1023Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
5 Link opens in a new tab Citations (Scopus)