Seguir
Chin Pang Ho
Título
Citado por
Citado por
Ano
Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities
Y Yan, AHF Chow, CP Ho, YH Kuo, Q Wu, C Ying
Transportation Research Part E: Logistics and Transportation Review 162, 102712, 2022
752022
Fast Bellman updates for robust MDPs
CP Ho, M Petrik, W Wiesemann
International Conference on Machine Learning, 1979-1988, 2018
612018
On data-driven prescriptive analytics with side information: A regularized nadaraya-watson approach
PR Srivastava, Y Wang, GA Hanasusanto, CP Ho
arXiv preprint arXiv:2110.04855, 2021
52*2021
Fully automatic myocardial segmentation of contrast echocardiography sequence using random forests guided by shape model
Y Li, CP Ho, M Toulemonde, N Chahal, R Senior, MX Tang
IEEE transactions on medical imaging 37 (5), 1081-1091, 2017
502017
Partial policy iteration for l1-robust markov decision processes
CP Ho, M Petrik, W Wiesemann
Journal of Machine Learning Research 22 (275), 1-46, 2021
482021
Fast Algorithms for -constrained S-rectangular Robust MDPs
B Behzadian, M Petrik, CP Ho
Advances in Neural Information Processing Systems 34, 25982-25992, 2021
232021
Identification of cerebral small vessel disease using multiple instance learning
L Chen, T Tong, CP Ho, R Patel, D Cohen, AC Dawson, O Halse, ...
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
232015
Understanding, modelling, and improving the performance of web applications in multicore virtualised environments
X Chen, CP Ho, R Osman, PG Harrison, WJ Knottenbelt
Proceedings of the 5th ACM/SPEC international conference on Performance …, 2014
222014
Robust -Divergence MDPs
CP Ho, M Petrik, W Wiesemann
Advances in Neural Information Processing Systems 35, 32680-32693, 2022
182022
Optimizing percentile criterion using robust MDPs
B Behzadian, RH Russel, M Petrik, CP Ho
International Conference on Artificial Intelligence and Statistics, 1009-1017, 2021
182021
Policy gradient in robust MDPs with global convergence guarantee
Q Wang, CP Ho, M Petrik
International Conference on Machine Learning, 35763-35797, 2023
14*2023
Learning efficient and robust multi-modal quadruped locomotion: A hierarchical approach
S Xu, L Zhu, CP Ho
2022 international conference on robotics and automation (ICRA), 4649-4655, 2022
82022
Myocardial segmentation of contrast echocardiograms using random forests guided by shape model
Y Li, CP Ho, N Chahal, R Senior, MX Tang
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016
82016
Singularly perturbed Markov decision processes: A multiresolution algorithm
CP Ho, P Parpas
SIAM Journal on Control and Optimization 52 (6), 3854-3886, 2014
82014
Newton-type multilevel optimization method
CP Ho, M Kočvara, P Parpas
Optimization Methods and Software 37 (1), 45-78, 2022
72022
Robust convex model predictive control for quadruped locomotion under uncertainties
S Xu, L Zhu, HT Zhang, CP Ho
IEEE Transactions on Robotics, 2023
52023
A Unifying Framework for the Capacitated Vehicle Routing Problem under Risk and Ambiguity
S Ghosal, CP Ho, W Wiesemann
42021
Fast Bellman Updates for Wasserstein Distributionally Robust MDPs
Z Yu, L Dai, S Xu, S Gao, CP Ho
Advances in Neural Information Processing Systems 36, 2024
32024
Multilevel optimization methods: Convergence and problem structure
CP Ho, P Parpas
Department of Computing, Imperial College London, United Kingdom, 50, 2016
32016
Risk-averse MDPs under reward ambiguity
H Ruan, Z Chen, CP Ho
arXiv preprint arXiv:2301.01045, 2023
22023
O sistema não pode efectuar a operação agora. Tente mais tarde.
Artigos 1–20